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# Теория вероятностей и математическая статистика

## Abzalimov R.R. Енtimollar nazariyasi va matematiк statistiкa

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Toshkent: O’zbekiston Respublikasi oliy va o’rta maxsus ta’lim vazirlig, 2008. — 58 b. О’quv qо’llanmada «Еhtimollar nazariyasi va matematik statistika» ning asosiy bо’limlari bо’yicha nazariy ma’lumotlar keltirilgan. Qо’llanma oliy va о’rta maxsus ta’lim vazirligi tamonidan tasdiqlangan «Oliy matematika» fanidan namunaviy dastur asosida tuzildi. Qо’llanma texnika oliy о’quv...
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## Adams M., Guillemin V. Measure Theory and Probability

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Birkhauser, 1996. — 218 p. — ISBN 0-8176-3884-9. "…the text is user friendly to the topics it considers and should be very accessible…Instructors and students of statistical measure theoretic courses will appreciate the numerous informative exercises; helpful hints or solution outlines are given with many of the problems. All in all, the text should make a useful reference for...
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## Adirov T.X., Mamurov E.N. Ehtimollar nazariyasi va matematik statistikadan masalalar va ularni yechishga doir ko‘rsatmalar

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Тoshkent: Iqtisod-Moliya, 2007. — 116 bet. Ushbu uslubiy qo‘llanma iqtisodiyot yo‘nalishidagi oliy o‘quv yurtlari talabalari uchun mo‘ljallangan bo‘lib, unda ehtimollar nazariyasi va matematik statistikadan masalalar hamda ularni yechishga oid uslubiy ko‘rsatmalar berilgan. Mustaqil yechishga tavsiya qilingan masalalar-ning aksariyat qismining javoblari berilgan bo‘lib, bu...
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## Ahn H. (Ed.) Probability and Statistics for Science and Engineering with Examples in R

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USA: Cognella Inc., 2017. — 337 p. — ISBN 1496374959. Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing. The first chapter introduces methods for describing statistics. Over the course of the...
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## Ahn Hongshik. Probability and Statistics for Science and Engineering with Examples in R

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2nd Edition. — Cognella, 2019. — 367 p. Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing. The first chapter introduces methods for describing statistics. Over the course of the subsequent...
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## Ahsanullah M., Nevzorov V.B. Records via Probability Theory

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Paris: Atlantis Press, 2015. — 255 p. A lot of statisticians, actuarial mathematicians, reliability engineers, meteorologists, hydrologists, economists. Business and sport analysts deal with records which play important roles in various fields of statistics and its application. This book enables a reader to check his/her level of understanding of the theory of record values. We...
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## Akemann G., Baik J., Di Francesco P. The Oxford Handbook of Random Matrix Theory

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Oxford: Oxford University Press, 2015. — 1068 p. With a foreword by Freeman Dyson, the handbook brings together leading mathematicians and physicists to offer a comprehensive overview of random matrix theory, including a guide to new developments and the diverse range of applications of this approach. In part one, all modern and classical techniques of solving random matrix models...
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## Akritas Michael. Probability & Statistics with R for Engineers and Scientists

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Pearson, 2015. — 528 p. — ISBN 978-0-321-85299-1 This text grew out of the author s notes for a course that he has taught for many years to a diverse group of undergraduates. The early introduction to the major concepts engages students immediately, which helps them see the big picture, and sets an appropriate tone for the course. In subsequent chapters, these topics are...
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## Albeverio S., Kantz H., Jentsch V. (eds) Extreme events in nature and society

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Berlin: Springer, 2006. — 357 p. Significant, and usually unwelcome, surprises, such as floods, financial crisis, epileptic seizures, or material rupture, are the topics of Extreme Events in Nature and Society. The book, authored by foremost experts in these fields, reveals unifying and distinguishing features of extreme events, including problems of understanding and modelling...
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## Albeverio S., Schachermayer W., Bernard P. Lectures on Probability Theory and Statistics: École d'été de probabilités de Saint-Flour XXX - 2000

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Springer, 2003. — 303 p. In World Mathematical Year 2000 the traditional St. Flour Summer School was hosted jointly with the European Mathematical Society. Sergio Albeverio reviews the theory of Dirichlet forms, and gives applications including partial differential equations, stochastic dynamics of quantum systems, quantum fields and the geometry of loop spaces. The second...
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## Albeverio S., Schachermayer W., Talagrand M. Lectures on Probability Theory and Statistics

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Springer, 2003. - 296 pages. In World Mathematical Year 2000 the traditional St. Flour Summer School was hosted jointly with the European Mathematical Society.Sergio Albeverio reviews the theory of Dirichlet forms, and givesapplications including partial differential equations, stochastic dynamics of quantum systems, quantum fields and the geometry of loop spaces. The second...
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## Altland A., Cugliandolo L.F., Fyodorov Y.V., O’Connell N., Schehr G. Stochastic processes and random matrices: lecture notes of the Les Houches Summer School

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Oxford: Oxford University Press, 2018. — 640 p. The field of stochastic processes and random matrix theory (RMT) has been a rapidly evolving subject during the last fifteen years. The continuous development and discovery of new tools, connections and ideas have led to an avalanche of new results. These breakthroughs have been made possible thanks, to a large extent, to the recent...
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## Andel J. Mathematics of Chance

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N.-Y.: Wiley, 2001. — 255 p. Mathematics of Chance utilizes simple, real-world problems-some of which have only recently been solved-to explain fundamental probability theorems, methods, and statistical reasoning. Jiri Andel begins with a basic introduction to probability theory and its important points before moving on to more specific sections on vital aspects of probability,...
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## Ang A.H.-S., Tang W.H. Probability Concepts in Engineering Planning and Design, Vol. 2: Decision, Risk, and Reliability

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New York: John Wiley & Sons Inc, 1984. — 572 p. Apply the principles of probability and statistics to realistic engineering problems The easiest and most effective way to learn the principles of probabilistic modeling and statistical inference is to apply those principles to a variety of applications. That's why Ang and Tang's Second Edition of Probability Concepts in Engineering...
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## Ang A.H.-S., Tang W.H. Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering

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Hoboken: Wiley, 2006. — 419 p. Apply the principles of probability and statistics to realistic engineering problems The easiest and most effective way to learn the principles of probabilistic modeling and statistical inference is to apply those principles to a variety of applications. That's why Ang and Tang's Second Edition of Probability Concepts in Engineering (previously...
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## Aronow P., Miller B. Foundations of Agnostic Statistics

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Cambridge University Press, 2019. — 318 p. — ISBN 978-1-107-17891-5. Reflecting a sea change in how empirical research has been conducted over the past three decades, Foundations of Agnostic Statistics presents an innovative treatment of modern statistical theory for the social and health sciences. This book develops the fundamentals of what the authors call agnostic statistics,...
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## Arras B., Houdré C. On Stein's Method for Infinitely Divisible Laws with Finite First Moment

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Springer, 2019. — 111 p. — (SpringerBriefs in Probability and Mathematical Statistics). — ISBN 978-3-030-15016-7. This book focuses on quantitative approximation results for weak limit theorems when the target limiting law is infinitely divisible with finite first moment. Two methods are presented and developed to obtain such quantitative results. At the root of these methods...
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## Arratia R., Barbour A.D., Tavaré S. Logarithmic Combinatorial Structures: A Probabilistic Approach

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European Mathematical Society, Switzerland, 2003. — 363 p. — (EMS Monographs in Mathematics) — ISBN: 3037190000 The elements of many classical combinatorial structures can be naturally decomposed into components. Permutations can be decomposed into cycles, polynomials over a finite field into irreducible factors, mappings into connected components. In all of these examples,...
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## Ash R.B. Probability and Measure

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2nd edition. — Harcourt Press, 2000. — 532 p. Probability and Measure Theory, Second Edition, is a text for a graduate-level course in probability. It provides extensive coverage of conditional probability and expectation, strong laws of large numbers, martingale theory, the central limit theorem, ergodic theory, and Brownian motion. The Clear, readable style Solutions to Problems...
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## Athreya S., Sunder V.S. Measure and Probability

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Boca Raton: CRC Press, 2008. — 118 p. This book covers the fundamentals of measure theory and probability theory. It begins with the construction of Lebesgue measure via Caratheodory’s outer measure approach and goes on to discuss integration and standard convergence theorems and contains an entire chapter devoted to complex measures, Lp spaces, Radon–Nikodym theorem, and the...
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## Bai Z., Chen Y., Liang Y.-C. (Eds.) Random Matrix Theory and Its Applications: Multivariate Statistics and Wireless Communications

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World Scientific, 2009. — 174 p. — (Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore 18). — ISBN 9814273112. Random matrix theory has a long history, beginning in the first instance in multivariate statistics. It was used by Wigner to supply explanations for the important regularity features of the apparently random dispositions of the...
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## Bai Z., Fang Z., Liang Y.-C. Spectral Theory of Large Dimensional Random Matrices and Its Applications to Wireless Communications and Finance Statistics: Random Matrix Theory and Its Applications

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Singapore: World Scientific, 2014. — 233 p. The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance. In the first part, we introduce some basic theorems of spectral analysis of large dimensional random matrices that are obtained under finite moment conditions, such as the limiting...
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## Baird D.C. Experimentation: An Introduction to Measurement Theory and Experiment Design

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3rd Edition. — Prentice-Hall, Inc., 1995. — 225 p. — ISBN 0133032981. A supplement to all introductory physics courses which have a strong lab component. The ever-increasing use of the computer as a tool for data analysis and acquisition has not eliminated the need for a grounding, sound experimentation design, Baird continues to emphasize the fundamentals of experimentation with...
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## Baker Justine C. Printed Test Bank with Immediate Answer Keys

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Publisher: Pearson Education, Inc. - 2007 Paperback: 302 pages. This manual contains tests and quizzes for each chapter in the text. Each test is immediately followed by its Answer Key. This manual may be reproduced for classroom use only. ISBN: 0-321-36914-9
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## Balakrishnan N. (Ed.) Advances on Methodological and Applied Aspects of Probability and Statistics

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CRC Press, 2003. – 664 p. – ISBN: 1560329807, 9781560329800 This is one of two volumes that sets forth invited papers presented at the International Indian Statistical Association Conference. This volume emphasizes advancements in methodology and applications of probability and statistics. The chapters, representing the ideas of vanguard researchers on the topic, present...
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## Balakrishnan N. (ed.) Advances on Theoretical and Methodological Aspects of Probability and Statistics

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New York: Taylor, 2002. — 525 p. At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including...
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## Balakrishnan N., Bairamov I.G., Gebizlioglu O.L. (eds.) Advances on models, characterizations, and applications

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Boca Raton: Dekker/CRC Press, 2005. — 237 p. Statistical distributions and models play a vital role in many different applied fields in science, engineering, humanities, health and social sciences. Data obtained from real-life situations are often modeled by appropriate statistical distributions and then inferential procedures are developed under the assumption of that particular...
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## Balakrishnan N., Ibragimov I.A., Nevzorov V.B. (eds.) Asymptotic Methods in Probability and Statistics with Applications

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Basel: Birkhäuser, 2001. — 549 p. Traditions of the 150-year-old St. Petersburg School of Probability and Statis­tics had been developed by many prominent scientists including P. L. Cheby­chev, A. M. Lyapunov, A. A. Markov, S. N. Bernstein, and Yu. V. Linnik. In 1948, the Chair of Probability and Statistics was established at the Department of Mathematics and Mechanics of the St....
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## Barbe P. Approximation of integrals over asymptotic sets with applications to statistics and probability

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Paris: Philippe Barbe, 2003. — 325 p. This book is the first of a larger project that I may try to complete. A second volume should be devoted to the asymptotic analysis of multivariate integrals over small wedges and their applications. A third one should extend some of the results of the first two volumes to the infinite dimensional setting, where there are some potentially...
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## Bard Y. Nonlinear Parameter Estimation

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New York: Academic Press, 1974. — 341 p. This book is intended primarily for use by the scientist or engineer who is concerned with fitting mathematical models to numerical data, and for use in courses on data analysis which deal with that subject. Such fitting is frequently done by the method of least squares, with no regard paid to previous knowledge concerning the values of the...
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## Barlow M.T., Nualart D. Lectures on Probability Theory and Statistics

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Springer, 2009. - 237 pages. This volume contains lectures given at the Saint-Flour Summer School of Probability Theory during the period 10th 26th July, 1995. These lectures are at a postgraduate research level. They are works of reference in their domain.
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## Barlow M.T., Nualart D. Lectures on Probability Theory and Statistics: École d'été de probabilités de Saint-Flour XXV - 1995

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N.-Y.: Springer, 1998. - 244p. This volume contains lectures given at the Saint-Flour Summer School of Probability Theory during the period 10th 26th July, 1995. These lectures are at a postgraduate research level. They are works of reference in their domain.
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## Barndorff-Nielsen O.E., Širjaev A.N. Change of time and change of measure

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Singapore: World Scientific, 2015. — 345 p. Contents : Random Change of Time Integral Representations and Change of Time in Stochastic Integrals Semimartingales: Basic Notions, Structures, Elements of Stochastic Analysis Stochastic Exponential and Stochastic Logarithm. Cumulant Processes Processes with Independent Increments. Levy Processes Change of Measure. General Facts Change...
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## Barnett M.S., Lewis T. Outliers in statistical data

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Wiley, 1978 – 188 p. - This book is the standard text on the subject. The work is scattered throughout the literature of the XX century, shows no sign of any abatement, but has not previously been drawn together in a comprehensive review. In offering such a comprehensive overview of the principles and methods associated with outliers the authors hope that they may help the...
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## Baron M. Probability and Statistics for Computer Scientists

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2nd ed. — CRC Press, 2014. — 469 p. — ISBN: 9781482214109. Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools. Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling,...
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## Baron M. Probability and Statistics for Computer Scientists

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Second Edition. — N.-Y.: Chapman and Hall/CRC, 2013. — 469 p. — ISBN: 978-1439875902. См. также PDF-файл: /file/1477717/ Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students...
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## Barone S., Franco E. Statistical and Managerial Techniques for Six Sigma Methodology: Theory and Application

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Wiley, 2012. — 396 p. — ISBN: 0470711833, 9780470711835 The Six Sigma methodology is characterised by the concurrent and integrated use of managerial and statistical techniques. This special feature makes the methodology not always understandable or easily applicable. In this book we present the methodology through the illustration of the most widespread techniques and tools...
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## Barragués J.I., Morais A., Guisasola J. (Eds.) Probability and Statistics: A Didactic Introduction

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CRC Press, 2014. — 490 p. — ISBN: 1482219778, 9781482219807, 9781482219777 With contributions by leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics. Each of the chapters covers a major topic and offers an intuitive view of the subject matter, methodologies, concepts, terms, and related applications. The book is...
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## Bayer Christian. Advanced Probability Theory

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Unpublished, 2011. — 75 p. Independence Strong Law Conditional Expectations Stochastic Processes Brownian Motion Characteristic Functions
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## Beck J.V., Arnold K.J. Parameter estimation in engineering and science

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New York: John Wiley and Sons, 1977. — 501 p. Introduction. Probability. Introduction to statistics. Parameter Estimation methods. Introduction to linear estimation. Matrix analysis for linear parameter estimation. Minimization of sum of squares functions for models nonlinear in parameters. Design of optimal experiments. References. Appendix.
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## Behrends E. Introduction to Markov Chains: With Special Emphasis on Rapid Mixing

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Springer, 2000. — 237 p. — (Advanced Lectures in Mathematics). — ISBN 3528069864. Besides the investigation of general chains the book contains chapters which are concerned with eigenvalue techniques, conductance, stopping times, the strong Markov property, couplings, strong uniform times, Markov chains on arbitrary finite groups (including a crash-course in harmonic analysis),...
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## Benveniste A., Métivier M., Priouret P. Adaptive Algorithms and Stochastic Approximations

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Berlin: Springer, 1990. — 372 p. Adaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now recognised as keystone of "intelligence" within computerised systems. These diverse areas echo...
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## Berman E.M, Wang X. Exercising Essential Statistics

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4th ed. — CQ Press, 2017 — 176 p. — ASIN B01NCSK33N. Through the use of critical thinking questions and data-based exercises, Evan Berman and Xiaohu Wang’s Exercising Essential Statistics helps students apply the techniques described in Essential Statistics for Public Managers and Policy Analysts, Fourth Edition. This accompanying workbook gives students the opportunity to...
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## Bertail P., Soulier P., Doukhan P. (eds.) Dependence in Probability and Statistics

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Berlin: Springer, 2006. — 490 p. This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. The book covers a wide range of topics from Markov chain theory and weak dependence with an emphasis on some recent developments on dynamical systems, to strong dependence in times series and random fields. A special section...
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## Bertoin J., Martinelli F., Peres Y. Lectures on Probability Theory and Statistics

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Springer, 1999. — 296 p. Bertoin, J.: Subordinators: Examples and Applications: Foreword.- Elements on subordinators.- Regenerative property.- Asymptotic behaviour of last passage times.- Rates of growth of local time.- Geometric properties of regenerative sets.- Burgers equation with Brownian initial velocity.- Random covering.- Lévy processes.- Occupation times of a linear...
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## Bertoin J., Martinelli F., Peres Y. Lectures on Probability Theory and Statistics

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Lecture Notes in Mathematics 1717. Springer, 2000. - 289 pages. Introduces the basic notions and properties of subordinators, such as the Levy-Khintchine formula, Itos decomposition, renewal measures, and ranges.
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## Best N., Jackson C., Lunn D., Spiegelhalter D., Thomas A. The BUGS Book: A Practical Introduction to Bayesian Analysis

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Boca Raton: CRC Press, 2012. — 339 p. The BUGS project is rooted in the idea of generic reusable components that can be put together as desired, like a child’s construction set but not quite as colourful. In this book we typically tackle each of these components one by one using deliberately simplified examples, but hopefully it will be clear that they can be easily assembled into...
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## Bhattacharjee M., Bose A. Large Covariance and Autocovariance Matrices

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Milton: Chapman and Hall/CRC, 2018. — 297 p. Large Covariance and Autocovariance Matrices brings together a collection of recent results on sample covariance and autocovariance matrices in high-dimensional models and novel ideas on how to use them for statistical inference in one or more high-dimensional time series models. The prerequisites include knowledge of elementary...
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## Bhattacharya R.N. Selected Papers

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Basel: Birkhäuser, 2016. - 717 p. Collection of influential papers by respected mathematician and statistician, Rabi N. Bhattacharya​​ Includes commentaries from established researchers to enhance accessibility Addresses past and present developments and future challenges in the fields of probability and statistics This volume presents some of the most influential papers...
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## Bhattacharya Rabi et al. A Basic Course in Probability Theory

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Springer, 2007. - 217p. This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications. In this second edition, the text has been reorganized for didactic purposes, new exercises have been added and basic theory has been expanded. General Markov dependent sequences and their convergence to...
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## Blitzstein Joseph K., Hwang Jessica. Introduction to Probability

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2nd Edition. — Chapman and Hall/CRC, 2019. — 634 p. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN-10 1138369918; ISBN-13 978-1138369917 Summary Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of...
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## Bolthausen E., Perkins E., van der Vaart A. Lectures on Probability Theory and Statistics. École d'été de probabilités de Saint-Flour XXIX, 1999

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Springer, 2002. — 473 p. This new volume of the long-established St. Flour Summer School of Probability includes the notes of the three major lecture courses by Erwin Bolthausen on "Large Deviations and Iterating Random Walks", by Edwin Perkins on "Dawson-Watanabe Superprocesses and Measure-Valued Diffusions", and by Aad van der Vaart on "Semiparametric Statistics".
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## Borovkov A.A. Ergodicity and Stability of Stochastic Processes

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Wiley, 1998. — 619 p. Translated from Russian, this book is an up-to-date account of ergodicity and of the stability of random processes. Important examples are Markov chains (MC) in arbitrary state space, stochastic recursive sequences (SRC) and MC in random environments (MCRI), as well as their continous time analogues.
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## Borovkov K. Elements of Stochastic Modelling

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2nd Edition. — Singapore: World Scientific Publishing Company, 2014. — 252 p. This is the expanded second edition of a successful textbook that provides a broad introduction to important areas of stochastic modelling. The original text was developed from lecture notes for a one-semester course for third-year science and actuarial students at the University of Melbourne. It...
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## Borovkov K.A. Russian - English, English - Russian Dictionary on Probability, Statistics, and Combinatorics

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Philadelphia: SIAM, 1987. — 163 p. Scientists, engineers, postgraduates, and students: do you employ probabilistic methods and models use statistical methods or combinatorics possess an interest in having direct access to original Russian-language literature? If so, then this dictionary is for you. Today, almost all Russian-language mathematical journals are translated into...
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## Bouza-Herrera C., Al-Omari A. (Eds.) Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering

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Academic Press, 2019. — 295 p. — ISBN 978-0-12-815044-3. This book is an advanced survey technique which seeks to improve the likelihood that collected sample data presents a good representation of the population and minimizes the costs associated with obtaining them. The main focus of many agricultural, ecological and environmental studies is the development of well designed,...
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## Box G.E.P., Wetz J. Criteria for judging adequacy of estimation by an approximating response function

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Technical report №9. — University of Wisconsin, 1973. — 95 р. One possible viewpoint of a useful or worthwhile model fit is that the range of values predicted by the fitted equation over the X-space should be considerably greater than the size of the errors with which these predictions are made. In this report this viewpoint was investigated by the authors. They concluded that in...
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## Breitung K.W. Asymptotic Approximations for Probability Integrals

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New York: Springer, 1994. — 162 p. This book gives a self-contained introduction to the subject of asymptotic approximation for multivariate integrals for both mathematicians and applied scientists. A collection of results of the Laplace methods is given. Such methods are useful for example in reliability, statistics, theoretical physics and information theory. An important...
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## Brémaud P. An Introduction to Probabilistic Modeling

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New York: Springer, 1988. — (Undergraduate Texts in Mathematics). — ISBN 978-1-4612-6996-0, ISBN 978-1-4612-1046-7. The present textbook provides prerequisite material for courses in Physics, Electrical Engineering, Operations Research, and other fields of applied science where probabilistic models are used intensively. The emphasis has therefore been placed on modeling and...
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## Brémaud P. Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding

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Springer International Publishing, Switzerland, 2017. — 561 p. — (Probability Theory and Stochastic Modelling 78) — ISBN: 9783319434759 Discrete probability deals with random elements taking their values in a finite space, or an infinite yet denumerable space: integer-valued random variables, but also random elements with values in a complex space, for instance a graph, a tree,...
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## Brézin E., Hikami S. Random Matrix Theory with an External Source

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Springer Nature Singapore Pte Ltd, 2016. — 143 p. — (Springer Briefs in Mathematical Physics. Volume19) — ISBN 9811033153. Random matrix theory (RMT) has a long history, starting with the statistics of nuclear energy levels by Wigner, and it has found applications in wide areas of all sciences from mathematics to biology. The universality of properties derived from random...
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## Briggs W. Uncertainty: The Soul of Modeling, Probability & Statistics

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New York: Springer, 2016. — 274 p. This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and...
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## Briggs William M. Breaking the Law of Averages: Real-Life Probability and Statistics in Plain English

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Lulu.com, 2008. — 250 p. — ISBN-10 0557019907; ISBN-13 978-0557019908. There is no such thing as a law of averages. If you are watching a roulette wheel, and it has just come up red twelve times in a row, the in no way is black “due” to show. That wheel has no memory; it cannot recall that it was just red for so long. There are no hidden forces that will nudge it back to black....
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## Brown P., Liu S. Contributions to Probability and Statistics: Applications and Challenges

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World Scientific Publishing Co. Pte. Ltd. 2006. — 311 pages. ISBN: 9812703918. Contributed by world renowned researchers, the book features a wide range of important topics in modern statistical theory and methodology, economics and finance, ecology, education, health and sports studies, and computer and IT-data mining. It is accessible to students and of interest to experts....
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## Bucklew James Antonio. Introduction to Rare Event Simulation

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Springer Science+ Business Media New York, 2004. — 262 p. — ISBN 978-1-4419-1893-2. This book is an attempt to present a unified theory of rare event simulation and the variance reduction technique known as importance sampling from the point of view of the probabilistic theory of large deviations. This framework allows us to view a vast assortment of simulation problems from a...
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## Budhiraja A., Dupuis P. Analysis and Approximation of Rare Events

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New York: Springer, 2019. — xix, 574 p. — (Probability Theory and Stochastic Modelling, 94). — ISBN 978-1-4939-9577-6. This book presents broadly applicable methods for the large deviation and moderate deviation analysis of discrete and continuous time stochastic systems. A feature of the book is the systematic use of variational representations for quantities of interest such as...
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## Buldygin V.V., Indlekofer K.-H., Klesov O.I., Steinebach J.G. Pseudo-Regularly Varying Functions and Generalized Renewal Processes

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Springer, 2018. — 496 p. — (Probability Theory and Stochastic Modelling 91). — ISBN 3319995367. One of the main aims of this book is to exhibit some fruitful links between renewal theory and regular variation of functions. Applications of renewal processes play a key role in actuarial and financial mathematics as well as in engineering, operations research and other fields of...
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## Capasso V. An Introduction to Random Currents and Their Applications

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New York: Springer, 2018. — 146 p. This book introduces random currents by presenting underlying mathematical methods necessary for applications. The theory of currents is an advanced topic in geometric measure theory that extends distribution to linear functionals within the space of differential forms of any order. Methods to extend random distributions to random currents are...
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## Capinski M., Zastawniak T. Probability Through Problems

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Springer, 2001. — 257 p. — ISBN 0-387-95036-X. This book of problems is designed to challenge students learning probability. Each chapter is divided into three parts: Problems, Hints, and Solutions. All Problems sections include expository material, making the book self-contained. Definitions and statements of important results are interlaced with relevant problems. The only...
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## Carette Jacques et al. Intelligent Computer Mathematics. Lecture Notes on Artificial Intelligence

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Springer, 2009. — 509 p. As computers and communications technology advance, greater opportunities arise for intelligent mathematical computation. While computer algebra, automated deduction and mathematical publishing each have long and successful histories, we are now seeing increasing opportunities for synergy among them. The Conferences on Intelligent Computer Mathematics...
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## Carlson K.A, Winquist J.R. An Introduction to Statistics: An Active Learning Approach

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2nd ed. — SAGE Publications, 2017 — 656 p. — ISBN 978-1483378732. An Introduction to Statistics: An Active Learning Approach, Second Edition by Kieth A. Carlson and Jennifer R. Winquist takes a unique, active approach to teaching and learning introductory statistics that allows students to discover and correct their misunderstandings as chapters progress rather than at their...
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## Carlson K.A., Winquist J.R. An Introduction to Statistics: An Active Learning Approach

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Second Edition. — SAGE Publications, 2018. — 779 p. — ISBN 9781483378732. The Second Edition takes a unique, active approach to teaching and learning introductory statistics that allows students to discover and correct their misunderstandings as chapters progress rather than at their conclusion. Empirically-developed, self-correcting activities reinforce and expand on...
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## Carlson K.A., Winquist J.R. An Introduction to Statistics: An Active Learning Approach

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2nd ed. — SAGE Publications, Inc., 2017. — 656 p. — ISBN: 148337873X, 9781483378732 The authors encourage an active approach to learning statistics through many in-depth activities that give students the opportunity to test or demonstrate their understanding of statistical concepts. The Second Edition is based on contemporary research on memory and the “testing effect” which...
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## Castillo E., Hadi A.S., Balakrishnan N., Sarabia J.M. Extreme Value and Related Models with Applications in Engineering and Science

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Hoboken: Wiley, 2004. — 367 p. A straightforward, practical guide to extreme value modeling for today's worldMeasuring and interpreting data for extreme values presents a unique and important challenge that has far-reaching implications for all aspects of modern engineering and science. Extreme Value and Related Models with Applications in Engineering and Science reflects the...
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## Chatterjee S. Deviations for Random Graphs: École d'Été de Probabilités de Saint-Flour XLV - 2015

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Springer International Publishing AG, 2017. — 175 p. — (Lecture Notes in Mathematics 2197). — ISBN 978-3-319-65815-5. This book addresses the emerging body of literature on the study of rare events in random graphs and networks. For example, what does a random graph look like if by chance it has far more triangles than expected? Until recently, probability theory offered no tools...
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## Chen L.H.Y., Goldstein L. Normal Approximation by Stein's Method

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N.-Y.: Springer, 2011. — 420 p. Since its introduction in 1972, Stein's method has offered a completely novel way of evaluating the quality of normal approximations. Through its characterizing equation approach, it is able to provide approximation error bounds in a wide variety of situations, even in the presence of complicated dependence. Use of the method thus opens the door...
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## Cho Y.J., Rassias T.M., Saadati R. Stability of Functional Equations in Random Normed Spaces

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New York: Springer, 2013. — 255 p. This book discusses the rapidly developing subject of mathematical analysis that deals primarily with stability of functional equations in generalized spaces. The fundamental problem in this subject was proposed by Stan M. Ulam in 1940 for approximate homomorphisms. The seminal work of Donald H. Hyers in 1941 and that of Themistocles M. Rassias...
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## Collazo R.A., Görgen C., Smith J.Q. Chain Event Graphs

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Boca Raton, USA: CRC Press, Taylor & Francis Group, LLC., 2018. — 254 p. — (Chapman & Hall/CRC, Computer Science and Data Analysis Series). — ISBN-13 978-1-4987-2960-4. Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning...
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## Cook R. An Introduction to Envelopes: Dimension Reduction for Efficient Estimation in Multivariate Statistics

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Wiley, 2018. — 306 p. — ISBN 978-1-119-42296-9. Written by the leading expert in the field, this text reviews the major new developments in envelope models and methods An Introduction to Envelopes provides an overview of the theory and methods of envelopes, a class of procedures for increasing efficiency in multivariate analyses without altering traditional objectives. The author...
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## Costa O.L.V., Fragoso M.D., Marques R.P. Discrete-Time Markov Jump Linear Systems

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N.-Y.: Springer, 2004. — 286 p. Safety critical and high-integrity systems, such as industrial plants and economic systems can be subject to abrupt changes - for instance due to component or interconnection failure, and sudden environment changes etc. Combining probability and operator theory, Discrete-Time Markov Jump Linear Systems provides a unified and rigorous treatment...
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## Coupier D. (ed.) Stochastic Geometry - Modern Research Frontiers

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New York: Springer, 2019. — 240 p. This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research. Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these introductory lectures. The first chapter is a...
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## Cox R.T. Algebra of Probable Inference

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New York: The Johns Hopkins University Press, 2001. - 121 p. In Algebra of Probable Inference, Richard T. Cox develops and demonstrates that probability theory is the only theory of inductive inference that abides by logical consistency. Cox does so through a functional derivation of probability theory as the unique extension of Boolean Algebra thereby establishing, for the first...
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## Cramer Erhard, Kamps Udo. Grundlagen der Wahrscheinlichkeitsrechnung und Statistik

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3te Auflage. — Springer Spektrum, 2017. — 384 p. — ISBN 978-3-662-54161-6. Dieses Buch führt anwendungsorientiert in die Beschreibende und Schließende Statistik, in die Wahrscheinlichkeitsrechnung und in Stochastische Modellierung ein und wendet sich insbesondere an Studierende der Informatik, des Ingenieur- und Wirtschaftsingenieurwesens sowie der Wirtschaftswissenschaften. Es...
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## Dalang R.C., Sanz-Sole M. Hitting Probabilities for Nonlinear Systems of Stochastic Waves

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Providence: American Mathematical Society, 2015. — 88 p. The authors consider a dd-dimensional random field u={u(t,x)}u={u(t,x)} that solves a non-linear system of stochastic wave equations in spatial dimensions k∈{1,2,3}k∈{1,2,3}, driven by a spatially homogeneous Gaussian noise that is white in time. They mainly consider the case where the spatial covariance is given by a Riesz...
• №84
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## Darren G., Paul M. IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference

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2016 Taylor & Francis. Fourteenth editio. Burman University, Formerly Canadian University College IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of vivid, four-color screen shots, clear writing, and step-by-step...
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## Darren G., Paul M. IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference

• mobi
2016 Taylor & Francis. Fourteenth editio. Burman University, Formerly Canadian University College IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of vivid, four-color screen shots, clear writing, and step-by-step...
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## Darren George, Paul Mallery. IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference

• epub
2016 Taylor & Francis. Fourteenth editio. Burman University, Formerly Canadian University College IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of vivid, four-color screen shots, clear writing, and step-by-step...
• №87
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## DasGupta Anirban. Asymptotic Theory of Statistics and Probability

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Springer, 2008. — 741 p. This book is an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical problems and probabilistic issues and tools. It is written in an extremely lucid style, with an emphasis on the conceptual discussion of the importance of a problem and the impact and relevance of the theorems.
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## DasGupta Anirban. Asymptotic Theory of Statistics and Probability

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Springer, 2008. — 741 p. This is a large scale theory, as well as a study on how to use it. It is a concept that it has been written on the subject of the concept.
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## Davronov P.Z., Raximov O.Q., Mavlonov M.T. Ehtimollar nazariyasi va matematik statistika fanidan mustaqil ishlarni bajarish bo’yicha Uslubiy ko’rsatmalar

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Samarqand: Samarqand qishloq xo’jalik instituti, 2006. — 32 b. Ehtimollar nazariyasi va matematik statistika fanidan mustaqil ishlarni bajarish bo’yicha uslubiy ko’rsatmalar 600000 – qishloq xo’jaligi bilim sohasining 5340100 – Iqtisodiyot (qishloq xo’jaligi), 5540700 – Qishloq xo’jaligini mexanizatsiyalashtirish bakalavr ta’lim yo’nalishlarining talabalari uchun tayyorlandi.
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## DeCoursey W.J. Statistics and Probability for Engineering Applications (With Microsoft Excel)

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Newnes, 2003. - 450 pages. This introductory textbook on statistics and probability is aimed at two groups: practicing engineers in industries and engineering students at about the freshman/sophomore level. The material is explained in a very easy-to-understand manner with numerous worked-out examples. Many of the examples presented have an engineering flavor, which will appeal...
• №91
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## Deep R. Probability and Statistics: with Integrated Software Routines

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Elsevier Academic Press Publications, 2005. — 707 pages. Probability & Statistics with Integrated Software Routines is a calculus-based treatment of probability concurrent with and integrated with statistics through interactive, tailored software applications designed to enhance the phenomena of probability and statistics. The software programs make the book unique. The book...
• №92
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## DeGroot M.H., Schervish M.J. Probability and Statistics

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4th Edition. — Addison Wesley, 2011. — 911 p. The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a...
• №93
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## DeGroot Morris H. Probability and Statistics

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Addison-Wesley, 1989. — 730 p. Probability & Statistics was written for a one or two semester probability and statistics course offered primarily at four-year institutions and taken mostly by sophomore and junior level students, majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and...
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## Dekking F.M, Kraaikamp C., Lopuhaa H.P., Meester L.E. A Modern Introduction to Probability and Statistics, Understanding Why and How

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Springer-Verlag London Limited, 2005. — 485 p. Probability and statistics are fascinating subjects on the interface between mathematics and applied sciences that help us understand and solve practical problems. We believe that you, by learning how stochastic methods come about and why they work, will be able to understand the meaning of statistical statements as well as judge...
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## Dembo A., Funaki T. Lectures on Probability Theory and Statistics. École d'été de probabilités de Saint-Flour XXXIII - 2003

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N.-Y.: Springer, 2005. - 288p. This volume contains two of the three lectures that were given at the 33rd Probability Summer School in Saint-Flour (July 6-23, 2003). Amir Dembo’s course is devoted to recent studies of the fractal nature of random sets, focusing on some fine properties of the sample path of random walk and Brownian motion. In particular, the cover time for...
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## Denker M., Woyczyński W.A., Ycart B. Introductory Statistics and Random Phenomena: Uncertainty, Complexity and Chaotic Behavior in Engineering and Science

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Basel: Birkhäuser, 1998. — 519 p. Why One Needs to Analyze Data Data Representation and Compression Analytic Representation of Random Experimental Data Algorithmic Complexity and Random Strings Statistical Independence and Kolmogorov’s Probability Theory Chaos in Dynamical Systems: How Uncertainty Arises in Scientific and Engineering Phenomena General Principles of Statistical...
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## Denny M., Gaines S. Chance in Biology: Using Probability to Explore Nature

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Princeton: Princeton University Press, 2000. — 306 p. Life is a chancy proposition: from the movement of molecules to the age at which we die, chance plays a key role in the natural world. Traditionally, biologists have viewed the inevitable "noise" of life as an unfortunate complication. The authors of this book, however, treat random processes as a benefit. In this introduction...
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## Devore J.L. Probability and Statistics for Engineering and the Sciences

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9th ed. — Cengage Learning, 2015. — 794 p. in color. — ISBN: 1305251806б 9781305251809 Put statistical theories into practice with Probability and Statistics for Engineering and the Sciences, 9th Edition. Always a market favorite, this calculus-based book offers a comprehensive introduction to probability and statistics while demonstrating how to apply concepts, models, and...
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## Devore J.L. Probability and Statistics for Engineering and the Sciences

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7th Edition. — Duxbury Press, 2008. — 768 p. This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics to actually putting the statistical methods to use. Rather than focus on...
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## Devore J.L. Probability and Statistics for Engineering and the Sciences

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Duxbury Press – 2011, 776 pages, 8th edition. ISBN: 0538733527, 9780538733526. This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics-you'll also learn how to put the...
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## Devore J.L., Carlton M.A. Student Solutions Manual for Devore's Probability and Statistics for Engineering and the Sciences

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7th Edition. — Devore Jay L., 2007. — 483 p. Содержит подробные решения всех задач из книги Devore J.L. Probability and Statistics for Engineering and the Sciences, 7th Edition.
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## Devore Jay L. Probability and Statistics for Engineering and the Sciences

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8th edition. — Cengage Learning, 2012. — 776 p. Overview and Descriptive Statistics Probability Discrete Random Variables and Probability Distributions Continuous Random Variables and Probability Distributions Joint Probability Distributions and Random Samples Point Estimation Statistical Intervals Based on a Single Sample Tests of Hypotheses Based on a Single Sample...
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## Devroye L. et al. (Eds.) Recent Developments in Applied Probability and Statistics: Dedicated to the Memory of Jurgen Lehn

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Springer-Verlag Berlin Heidelberg – 2010, 247 pages ISBN: 3790825972, 9783790825978 This book presents surveys on recent developments in applied probability and statistics. The contributions include topics such as nonparametric regression and density estimation, option pricing, probabilistic methods for multivariate interpolation, robust graphical modelling and stochastic...
• №104
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## Devroye L. Non-Uniform Random Variate Generation

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New York: Springer, 1986. - 857p. Contents: Introduction General outline About our notation Definitions A few important univariate densities Assessment of random variate generators Distributions with no variable parameters Parametric families Operations on random variables Transformations Mixtures Order statistics Convolutions Sums of...
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## Diaconis P., Skyrms B. Ten Great Ideas About Chance

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Princeton: Princeton University Press, 2017. — 271 p. — ISBN 978-0-691-17416-7. In the sixteenth and seventeenth centuries, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series of breakthroughs that enabled or transformed innumerable fields, from gambling, mathematics, statistics, economics,...
• №106
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## Diaconis Persi. Group Representations in Probability and Statistics

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Hayward: Institute of Mathematical Statistics, 1988. - 204 p. This monograph is an expanded version of lecture notes I have used over the past eight years. I first taught this subject at Harvard's Department of Statistics 1981-82 when a version of these notes were issued. I've subsequently taught the subject at Stanford in 1983 and 1986. I've also delivered lecture series on...
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## Dobrushin R.L., Sinai Y.G. (eds.) Multicomponent Random Systems

• djvu
New York: Marcel Dekker Inc, 1980. - 624 p. Over the last decade there has taken shape and, we can say, ripened a new interdisciplinary scientific field--a theory of multicomponent random systems. The main object of study here is multidimensional systems comprising a large number of homogeneous locally interacting components. These components may be of different real nature...
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## Dohmen K. Improved Bonferroni Inequalities via Abstract Tubes: Inequalities and Identities of Inclusion-Exclusion Type

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Springer, 2003. — 122 p. This introduction to the recent theory of abstract tubes describes the framework for establishing improved inclusion-exclusion identities and Bonferroni inequalities, which are provably at least as sharp as their classical counterparts while involving fewer terms. All necessary definitions from graph theory, lattice theory and topology are provided. The...
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## Doukhan P., Lang G., Surgailis D., Teyssière G. (eds.) Dependence in Probability and Statistics

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Berlin: Springer, 2010. - 224p. This volume collects recent works on weakly dependent, long-memory and multifractal processes and introduces new dependence measures for studying complex stochastic systems. Other topics include the statistical theory for bootstrap and permutation statistics for infinite variance processes, the dependence structure of max-stable processes, and...
• №110
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## Drew J.H., Evans D.L., Glen A.G., Leemis L.M. Computational Probability: Algorithms and Applications in the Mathematical Sciences

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2nd Edition. — Springer, 2017. — 336 p. — (International Series in Operations Research & Management Science 246). — ISBN 3319433210. This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that...
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## Drew J.H., Evans D.L., Glen A.G., Leemis L.M. Computational Probability: Algorithms and Applications in the Mathematical Sciences

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N.-Y.: Springer, 2007. - 216p. Computational probability encompasses data structures and algorithms that have emerged over the past decade that allow researchers and students to focus on a new class of stochastic problems. COMPUTATIONAL PROBABILITY is the first book that examines and presents these computational methods in a systematic manner. The techniques described here...
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## Dubois D. et al. (eds.) Soft Methods for Handling Variability and Imprecision

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Springer, 2008. — 415 p. Probability theory has been the only well-founded theory of uncertainty for a long time. It was viewed either as a powerful tool for modelling random phenomena, or as a rational approach to the notion of degree of belief. During the last thirty years, in areas centered around decision theory, artificial intelligence and information processing, numerous...
• №113
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## Dudley R.M. Uniform Central Limit Theorems

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2nd edition. — Cambridge University Press, 2014. — 472 p. — (Cambridge Studies in Advanced Mathematics 142). This book shows how, when samples become large, the probability laws of large numbers and related facts are guaranteed to hold over wide domains. The author, an acknowledged expert, gives a thorough treatment of the subject, including several topics not found in any...
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## Dudley R.M. Uniform Central Limit Theorems

• pdf
2nd edition. — Cambridge University Press, 2014. — 469 p. — (Cambridge Studies in Advanced Mathematics 142). This book shows how, when samples become large, the probability laws of large numbers and related facts are guaranteed to hold over wide domains. The author, an acknowledged expert, gives a thorough treatment of the subject, including several topics not found in any...
• №115
• 3,14 МБ
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## Eells E. Probabilistic Causality

• djvu
Cambridge: Cambridge University Press, 1991. — 425 p. — ISBN 9780511570667, 051157066X. In this important first book in the series Cambridge Studies in Probability, Induction and Decision Theory, Ellery Eells explores and refines current philosophical conceptions of probabilistic causality. In a probabilistic theory of causation, causes increase the probability of their effects...
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## Eichelsbacher P., Elsner G. et al. (Eds.) Limit Theorems in Probability, Statistics and Number Theory

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Springer, 2013. — 328 p. — ISBN: 364236067X. ​Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit theorems have been discovered for processes in random environments, especially in connection with random matrix theory and free probability. These questions and the techniques for answering them...
• №117
• 4,00 МБ
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## Epps T.W. Probability and Statistical Theory for Applied Researchers

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Singapore: World Scientific Publishing Company, 2013. - 828p. This book presents the theory of probability and mathematical statistics at a level suitable for researchers at the frontiers of applied disciplines. Examples and exercises make essential concepts in measure theory and analysis accessible to those with preparation limited to vector calculus. Complete, detailed...
• №118
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## Erdős L., Yau H. A Dynamical Approach to Random Matrix Theory

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Providence, American Mathematical Society, USA: 2017. — 239 p. — (Courant lecture notes in mathematics 28). — ISBN 1470436485. This book is a concise and self-contained introduction of recent techniques to prove local spectral universality for large random matrices. Random matrix theory is a fast expanding research area, and this book mainly focuses on the methods that the authors...
• №119
• 1,09 МБ
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## Evans M.J., Rosenthal J.S. Probability and Statistics: The Science of Uncertainty

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W.H. Freeman and Company, 2010. - 760 pages. Second Edition Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book...
• №120
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## Everitt B. Chance Rules: An Informal Guide to Probability, Risk and Statistics

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Springer, 2008. - 209 Pages. Chance continues to govern our lives in the 21st Century. From the genes we inherit and the environment into which we are born, to the lottery ticket we buy at the local store, much of life is a gamble. In business, education, travel, health, and marriage, we take chances in the hope of obtaining something better. Chance colors our lives with...
• №121
• 2,82 МБ
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## Everitt B.S. A Whistle-Stop Tour of Statistics

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Hoboken: CRC Press, 2011. — 206 p. A Whistle-Stop Tour of Statistics introduces basic probability and statistics through bite-size coverage of key topics. A review aid and study guide for undergraduate students, it presents descriptions of key concepts from probability and statistics in self-contained sections. Features: Presents an accessible reference to the key...
• №122
• 2,63 МБ
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## Faber M.H. Statistics and Probability Theory: In Pursuit of Engineering Decision Support

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Springer, 2012. — 207 p. — (Topics in Safety, Risk, Reliability and Quality 18). — ISBN 9400740557. Of practical relevance - yet theoretically solid and consistant Emphasis on relevance for engineering decision support and assessments Written for engineers by an engineer This book provides the reader with the basic skills and tools of statistics and probability in the context of...
• №123
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## Fang K.W. Symmetric Multivariate and Related Distributions

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New York: Chapman & Hall, 2017. — 231 p. Since the publication of the by now classical Johnson and Kotz Continuous Multivariate Distributions (Wiley, 1972) there have been substantial developments in multivariate distribution theory especially in the area of non-normal symmetric multivariate distributions. The book by Fang, Kotz and Ng summarizes these developments in a manner...
• №124
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## Farmonov Sh.Q., Тurgunbayev R.M., Sharipova L.D., Parpiyeva N.Т. Ehtimolliklar nazariyasi va maтemaтik sтaтisтika

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Toshkent: O‘zbekiston Respublikasi Oliy va o‘rta maxsus ta’lim vazirligi, 2007. — 223 b. Darslik pedagogika oliy ta’lim muassasalari “Matematika va informatika” bakalavriat ta’lim yo‘nalishi o‘quv rejasidagi “Ehtimolliklar nazariyasi va matematik statistika” fanining amaldagi dasturi asosida yozilgan. Unda fan bo‘limlari bo‘yicha nazariy ma’lumot va ularga doir misollar yechib...
• №125
• 1,62 МБ
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## Feller W. Selected Papers I

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New York: Springer, 2015. — 836 p. This extensive selection of William Feller’s scientific papers shows the breadth of his oeuvre as well as the historical development of his scientific interests. Six seminal papers – originally written in German – on the central limit theorem, the law of large numbers, the foundations of probability theory, stochastic processes and mathematical...
• №126
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## Feller William. Wstęp do rachunku prawdopodobieństwa

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Podręcznik. — Tlumaczyli Robert Bartoszyński, Bronislaw Bielecki. — Wydanie szóste. — Warszawa: Wydawnictwo Naukowe PWN, 2007. — 304 s. — ISBN 978-83-01-14684-9. Książka Fellera, którą prezentujemy polskiemu Czytelnikowi, była wydana w oryginale jako pierwszy tom dwutomowego dzieła. Szczególną cechą tej książki, odróżniającą ją od innych tego rodzaju opracowań, jest dobór...
• №127
• 21,11 МБ
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## Fisher A. The Mathematical Theory of Probabilities and Its Application to Frequency Curves and Statistical Methods

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The Macmillan Company, 1922. – 325 p. – 2nd ed. – ISBN: N/A At the time when the first edition of this little book was published in 1916, I expected to issue a second volume shortly after, dealing with frequency curves and frequen(7 surfaces as well as the related problem of co-variation (correlation). The manuscript for this volume was completed and printing had already...
• №128
• 4,16 МБ
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## Fisz M. Probability Theory and Mathematical Statistics

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John Wiley & Sons, 1963. — 695 p. Probability theory can be understood as a mathematical model for the intuitive notion of uncertainty. Without probability theory all the stochastic models in Physics, Biology, and Economics would either not have been developed or would not be rigorous. Also, probability is used in many branches of pure mathematics, even in branches one does not...
• №129
• 7,35 МБ
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## Forsyth D. Probability and Statistics for Computer Science

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Springer, 2018. — 374 p. — ISBN: 978-3-319-64409-7. This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular...
• №130
• 6,80 МБ
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## Funaki T. Lectures on Random Interfaces

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Springer, 2016. — 147 p. — (SpringerBriefs in Probability and Mathematical Statistics). — ISBN 9811008485. Interfaces are created to separate two distinct phases in a situation in which phase coexistence occurs. This book discusses randomly fluctuating interfaces in several different settings and from several points of view: discrete/continuum, microscopic/macroscopic, and...
• №131
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## Fung K. Numbers Rule Your World: The Hidden Influence of Probabilities and Statistics on Everything You Do

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McGraw-Hill, 2010. - 224 pages. In the popular tradition of eye-opening bestsellers like Freakonomics, The Tipping Point, and Super Crunchers, this fascinating book from renowned statistician and blogger Kaiser Fung takes you inside the hidden world of facts and figures that affect you every day, in every way. These are the statistics that rule your life, your job, your...
• №132
• 1,48 МБ
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## Galambos J., Simonelli I. Bonferroni-type Inequalities with Applications

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N.-Y.: Springer, 1996. - 278p. This book presents a large variety of extensions of the methods of inclusion and exclusion. Both methods for generating and methods for proof of such inequalities are discussed. The inequalities are utilized for finding asymptotic values and for limit theorems. Applications vary from classical probability estimates to modern extreme value theory...
• №133
• 16,87 МБ
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## Galambos J., Simonelli I. Bonferroni-type Inequalities with Applications

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Springer, 1996. — 278 p. This book presents a large variety of extensions of the methods of inclusion and exclusion. Both methods for generating and methods for. The inequalities are utilized for finding asymptotic values ​​and for limit theorems. Applications vary from the classical probability to the modern extreme value theory and combinatorial counting to random subset...
• №134
• 1,77 МБ
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## Galen R. Shorack, Jon A. Wellner, Empirical Processes With Applications to Statistics

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John Wiley & Sons, 938 pages, 1986. This is the first book to summarize a broad cross-section of the large volume of literature available on one-dimensional empirical processes.
• №135
• 4,44 МБ
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## Gatti P. Probability theory and mathematical statistics for engineers

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Londonand New-York. Spon Press. 2005. — 369 pages. Probability Theory and Statistical Methods for Engineers describes the fundamental concepts and applications of probability and statistics. By bringing together modern probability theory with the more practical applications of statistics, it bridges the gap between theory and practice. Topics such as, for example, Fourier...
• №136
• 1,89 МБ
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## Gatti P. Probability theory and mathematical statistics for engineers

• djvu
Londonand New-York. Spon Press. 2005. — 369 pages. Probability Theory and Statistical Methods for Engineers describes the fundamental concepts and applications of probability and statistics. By bringing together modern probability theory with the more practical applications of statistics, it bridges the gap between theory and practice. Topics such as, for example, Fourier...
• №137
• 2,81 МБ
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## Genz A., Bretz F. Computation of Multivariate Normal and t Probabilities

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Springer, 2009. — 129 p. — (Lecture Notes in Statistics 195). — ISBN 978-3-642-01688-2. Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation packages provide functions for the computation of these probabilities for problems with one or two variables. This book describes recently developed methods for...
• №138
• 1,47 МБ
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## Georgii H.-O. Stochastics Introduction To Probability And Statistics

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2nd edition. — Berlin: de Gruyter, 2013. — 420 p. This textbook, now in its second revised and extended edition, presents the fundamental ideas and results of both probability theory and statistics. It comprises the material of a one-year course, which is addressed to students of mathematics and to scientists with an interest in the mathematical side of stochastics. The stochastic...
• №139
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## Giks W.R., Richardson S., Spiegelhalter D.J. (Eds.) Markov Chain Monte Carlo in Practice

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New York: Chapman and Hall/CRC, 1995. — 512 p. In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true temporal location on the calendar scale....
• №140
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## Gil E., Gil E., Gil J., Gil M.A. (eds.) The Mathematics of the Uncertain: A Tribute to Pedro Gil

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New York: Springer, 2018. — 897 p. This book is a tribute to Professor Pedro Gil, who created the Department of Statistics, OR and TM at the University of Oviedo, and a former President of the Spanish Society of Statistics and OR (SEIO). In more than eighty original contributions, it illustrates the extent to which Mathematics can help manage uncertainty, a factor that is inherent...
• №141
• 18,52 МБ
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## Gine E., Grimmett G.R., Saloff-Coste L. Lectures on Probability Theory and Statistics

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Lecture Notes in Mathematics 1665. Springer-Verlag Telos, 1997. - 424 pages. This new volume of the long-established St. Flour Summer School of Probability includes the notes of the three major lecture courses by Erwin Bolthausen on "Large Deviations and Iterating Random Walks", by Edwin Perkins on "Dawson-Watanabe Superprocesses and Measure-Valued Diffusions", and by Aad van...
• №142
• 16,61 МБ
• дата добавления неизвестна
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## Giné E., Grimmett G.R., Saloff-Coste L. Lectures on Probability Theory and Statistics: École d'été de probabilités de Saint-Flour XXVI - 1996

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N.-Y.: Springer, 1997. - 428p. Lecture Notes in Mathematics 1665, reports on new developments in mathematical research and teaching-quickly, informally and at a high level.
• №143
• 16,62 МБ
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## Goldie S. Statistics

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Hodder Education, 2014. — 344 p. in color. — (Cambridge International As & a Level Mathematics). — ISBN: 1444146505, 9781444146509 his brand new series has been written for the University of Cambridge International Examinations course for AS and A Level Mathematics (9709). This title covers the requirements of S1 and S2. The authors are experienced examiners and teachers who...
• №144
• 5,02 МБ
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## Gorban I. Randomness and Hyper-Randomness

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New York: Springer, 2018. — 233 p. — (Mathematical Engineering). — ISBN 978-3-319-60780-1. The monograph compares two approaches that describe the statistical stability phenomenon – one proposed by the probability theory that ignores violations of statistical stability and another proposed by the theory of hyper-random phenomena that takes these violations into account. There are...
• №145
• 3,63 МБ
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## Gower J., Lubbe S., le Roux N. Understanding Biplots

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John Wiley & Sons, Ltd. 2011. — 476 p. — ISBN 0470012552. Biplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multivariate data matrix or the items labelling the rows and columns of a two-way table. This book aims to popularize what is now seen to be a useful and reliable method for the...
• №146
• 5,79 МБ
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## Graham C., Kurtz T.G., Meleard S., Protter Ph.E., Pulvirenti M., Talay D., Tubaro L. Probabilistic Models for Nonlinear Partial Differential Equations

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New York: Springer, 1996. - 316 p. The lecture courses of the CIME Summer School on Probabilistic Models for Nonlinear PDE's and their Numerical Applications (April 1995) had a three-fold emphasis: first, on the weak convergence of stochastic integrals; second, on the probabilistic interpretation and the particle approximation of equations coming from Physics (conservation laws,...
• №147
• 1,86 МБ
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## Grami A. Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications

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Wiley, 2019 (2020). — 401 p. — ISBN 978-1-119-30083-0. This book is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences....
• №148
• 4,43 МБ
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## Grassmann W.K. Computational Probability

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N.-Y.: Springer, 2000. - 490p. Great advances have been made in recent years in the field of computational probability. In particular, the state of the art - as it relates to queuing systems, stochastic Petri-nets and systems dealing with reliability - has benefited significantly from these advances. The objective of this book is to make these topics accessible to researchers,...
• №149
• 14,43 МБ
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## Greenhouse Joel (ed.) R.R. Bahadur's Lectures on the Theory of Estimation

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Institute of Mathematical Statistics, 2002. — 96 p. In the Winter Quarter of the academic year 1984 — 1985, Raj Bahadur gave a series of lectures on estimation theory at the University of Chicago. The role of statistical theory in Chicago's graduate curriculum has always varied according to faculty interests, but the hard and detailed examination of the classical theory of...
• №150
• 9,07 МБ
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## Gregersen E. (editor) The Britannica Guide to Statistics and Probability

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Rosen Educational Publishing, 2010. - 335 pages. In an effort to better forecast the future for gains, and combat the potential losses of uncertainty, numerous disciplines have come to rely on the power of statistics and probability. By observing patterns and repeated behaviors, mathematicians have devised calculations to significantly reduce human potential for error. This...
• №151
• 5,42 МБ
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## Grigoriu M. Stochastic Systems: Uncertainty Quantification and Propagation

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Springer, 2012. — 534 p. — (Springer Series in Reliability Engineering). — ISBN 1447123271. Equations are used in applied sciences and engineering to characterize the state of mechanical, economics, physical, environmental, and other systems. For a long time it has been assumed that the coefficients of, the input to, and the end conditions for these equations are deterministic and...
• №152
• 8,12 МБ
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## Grzegorzewski P., Hryniewicz O., Ángeles Gil M.A. (eds.) Soft Methods in Probability, Statistics and Data Analysis

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Geidelberg: Physica-Verlag, 2002. — 376 p. Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approaches utilize concepts and techniques developed in theories...
• №153
• 7,05 МБ
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## Guionnet A. Large Random Matrices: Lectures on Macroscopic Asymptotics

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Berlin: Springer, 2009. — 284 p. Random matrix theory has developed in the last few years, in connection with various fields of mathematics and physics. These notes emphasize the relation with the problem of enumerating complicated graphs, and the related large deviations questions. Such questions are also closely related with the asymptotic distribution of matrices, which is...
• №154
• 3,31 МБ
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## Guttorp P. Stochastic modeling of scientific data

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New York: Chapman & Hall, 1995. — 385 p. This text combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, Markov random fields and hidden Markov models, in a clear, thoughtful and succinct manner. The main distinguishing feature of this work is that, in addition to probability theory, it contains statistical...
• №155
• 25,21 МБ
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## Hall P., Heyde C.C. Martingale Limit Theory and its Application

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Academic Press, 1980. — 308 p. Martingale Limit Theory and Its Application discusses the asymptotic properties of martingales, particularly as regards key prototype of probabilistic behavior. The book explains the thesis that martingale theory is central to chance theory, and also examines the relationships between martingales and processes, embeddable in or approximated by...
• №156
• 2,37 МБ
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## Hall P., Heyde C.C. Martingale Limit Theory and its Application

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Academic Press, 1980. — 308 p. Martingale Limit Theory and Its Application discusses the asymptotic properties of martingales, particularly as regards key prototype of probabilistic behavior that has wide applications. The book explains the thesis that martingale theory is central to probability theory, and also examines the relationships between martingales and processes...
• №157
• 8,42 МБ
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## Hamouda O., Rowley R. Probability in Economics

• djvu
London: Routledge, 1996. — 213 p. Notions of probability and uncertainty have been increasingly prominant in modern economics. This book considers the philosophical and practical difficulties inherent in integrating these concepts into realistic economic situations. It outlines and evaluates the major developments, indicating where further work is needed. This book addresses:...
• №158
• 1,05 МБ
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## Harlamov Boris. Continuous Semi-Markov Processes

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Wiley, 2008. - 377p. This title considers the special of random processes known as semi-Markov processes. These possess the Markov property with respect to any intrinsic Markov time such as the first exit time from an open set or a finite iteration of these times. The class of semi-Markov processes includes strong Markov processes, Lévy and Smith stepped semi-Markov processes, and...
• №159
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## Harper W.L., Hooker C.A. (eds.) Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science. Vol. I. Foundations and Philosophy of Epistemic Applications of Probability Theory

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Dordrecht: Reidel Publishing Company, 2013. - 315 p. In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western Ontario. During the past four decades there have been striking formal advances in our understanding of logic, semantics and algebraic structure in...
• №160
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## Harper W.L., Skyrms B. (eds.) Causation in Decision, Belief Change, and Statistics: Proceedings of the Irvine Conference on Probability and Causation

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Amsterdam: Springer, 1988. — 266 p. — ISBN 9789027726346, 9027726345. The papers collected here are, with three exceptions, those presented at a conference on probability and causation held at the University of California at Irvine on July 15-19, 1985. The exceptions are that David Freedman and Abner Shimony were not able to contribute the papers that they presented to this...
• №161
• 7,15 МБ
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## Hátle Jaroslav, Kahounová Jana. Úvod do teorie pravděpodobnosti

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Vyd. 1. — Praha, Bratislava : SNTL - Nakladatelství technické literatury ; Alfa, 1987. — 202 s. Učebnice seznamuje čtenáře se základy teorie pravděpodobnosti, s jejími hlavními postupy a jejich využití v praxi.
• №162
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## Hayter A.J. Probability and Statistics for Engineers and Scientists

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Duxbury Press – 2012, 864 pages in color, 4th edition ISBN: 1111827044, 9781111827045 Probability and Statistics for Engineers and Scientists, Fourth Edition, continues the approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily-and understands their vocabulary. The...
• №163
• 35,02 МБ
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## Hayter Anthony J. Probability and Statistics for Engineers and Scientists

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4th edition. — Brooks/Cole, 2012. — 864 pages. ISBN: 1111827044. PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, Fourth Edition, continues the approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily-and understands their vocabulary. The result of this...
• №164
• 7,57 МБ
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## Hines W.W., Montgomery D.C., Goldsman D.M., Borror, C.M. Probability and Statistics in Engineering

• pdf
Wiley, 4 ed, 2003 – 672 p. - Now with even more examples with real data, real-world applications, and computer exercise, the Fourth Edition of this accessible text prepares you for situations you're likely to encounter as a professionakl engineer. Together with new co-authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly...
• №165
• 29,12 МБ
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## Hines W.W., Montgomery D.C., Goldsman D.M., Borror, C.M. Solutions Manual for Probability and Statistics in Engineering

• pdf
4th ed. — Hoboken: Wiley, 2003. — 222 p. Now with even more examples with real data, real-world applications, and computer exercise, the Fourth Edition of this accessible text prepares you for situations you're likely to encounter as a professional engineer. Together with new co-authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their...
• №166
• 2,07 МБ
• добавлен
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## Hodges J.L. Jr., Lehmann E.L. Basic Concepts of Probability and Statistics

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Second Edition. — Society for Industrial and Applied Mathematics, Philadelphia, PA- 2005. — 478 p. Basic Concepts fills the need for an introduction to the fundamental ideas of modem statistics that was mathematically rigorous but did not require calculus. This was achieved by restricting attention to discrete situations. The book was translated into Italian, Hebrew, Danish,...
• №167
• 14,45 МБ
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## Hodges J.L., Lehmann E.L. Basic Concepts of Probability and Statistics

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Society for Industrial and Applied Mathematics, 2005. — 464 p. — 2nd ed. — ISBN: 9780898715750, 089871575X Basic Concepts of Probability and Statistics provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background. It is the only book at this level to introduce readers to modern concepts of hypothesis...
• №168
• 4,14 МБ
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## Hoffman-Jorgensen J. Probability With a View Towards Statistics, vol. II

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New York: Chapman and Hall/CRC, 1994. - 547p. Volume II of this two-volume text and reference work concentrates on the applications of probability theory to statistics, e.g., the art of calculating densities of complicated transformations of random vectors, exponential models, consistency of maximum estimators, and asymptotic normality of maximum estimators. It also discusses...
• №169
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## Hoffmann-Jørgensen J. Probability With a View Towards Statistics, vol. I

• pdf
New York: Chapman and Hall/CRC, 1994. — 632p Volume I of this two-volume text and reference work begins by providing a foundation in measure and integration theory. It then offers a systematic introduction to probability theory, and in particular, those parts that are used in statistics. This volume discusses the law of large numbers for independent and non-independent random...
• №170
• 14,15 МБ
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## Hogg R.V., Tanis E., Zimmerman D. Probability and Statistical Inference

• pdf
9th Edition. — New York: Pearson, 2014. — 557 p. Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce...
• №171
• 11,73 МБ
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## Hogg R.V., Tanis E.A., Zimmerman D.L. Probability and Statistical Inference

• pdf
Pearson, 2015. — 556 p. — 9th ed. — ISBN: 0321923278, 9780321923271 Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book...
• №172
• 4,42 МБ
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## Hooper William. Continuous Improvement, Probability, and Statistics: Using Creative Hands-On

• pdf
CRC Press, 2017. — 207 p. — (Continuous Improvement Series). — ISBN 10 1138035076. — ISBN 13 978-1138035072. This book is for those that hae struggled with the concept of statistics, have a genuine fear of data, and think the world of continuous improvement and experimentation is designed for few to understand. This book answers the question, why can't every operator, technician,...
• №173
• 5,86 МБ
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## Hudson Derek J. Lectures on elementary statistics and probability

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Geneva: CERN, 1963. — 103 p. This set of six lectures is a summary of some of principal results in the theory of random variables. The arguments used are based on the axioms of the theory of probability, which re presented in the classical way. Discrete and continuous distributions are defined, and at the end the chi2 and t distributions are evaluated. Moment generating functions...
• №174
• 3,80 МБ
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## Huttegger S.M. The Probabilistic Foundations of Rational Learning

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Cambridge: Cambridge University Press, 2017. — 239 p. According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into one's old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learner's informational inputs are much more...
• №175
• 1,24 МБ
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## Imkeller P. Two-Parameter Martingales and Their Quadratic Variation

• djvu
Springer, 1988. — 181 p. This book has two-fold aims. In a first part it gives an introductory, thorough and essentially self-contained treatment of the general theory of two-parameter processes that has developed since around 1975. Apart from two survey papers by Merzbach and Meyer it is the first text of this kind. The second part presents the results of recent research by the...
• №176
• 945,54 КБ
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## Ito K., Prokhorov J.V. (Eds). Probability Theory and Mathematical Statistics

• djvu
Proceedings of the Fourth USSR - Japan Symposium, held at Tbilisi, USSR, August 23-29, 1982. — Springer, 1983. — 795 p. The Fourth USSR-Japan Symposium on Probability Theory and Mathematical Statistics was held at Tbilisi, Soviet Union, August 23-29, 1982. Forty five probabilists from Japan and about 300 from the Soviet Union attended the symposium. This volume contains the papers...
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## Jacod J., Shiryaev A.N. Limit Theorems for Stochastic Processes

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2nd Ed. — Springer, 2003. — 664 p. Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochastic integrals. Apart from a few exceptions essentially concerning diffusion processes, it is only recently that the relation between the two theories has been thoroughly studied. The...
• №178
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## Janson S. Orthogonal Decompositions and Functional Limit Theorems for Random Graph Statistics

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Providence: American Mathematical Society, 1994. — 78 p. This book develops a method to obtain limit theorems for various functionals of random graphs. The method is based on a certain orthogonal decomposition. Janson's results include limit theorems for the two standard random graph models, Gn,pGn,p and Gn,mGn,m, as well as functional limit theorems for the evolution of a random...
• №179
• 825,97 КБ
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## John I. Marden. Multivariate Statistics. Old School

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Unpublished, 2015. — 358 p. Mathematical and methodological introduction to multivariate statistical analytics, including linear models, principal components, covariance structures, classiﬁcation, and clustering, providing background for machine learning and big data study, with R.
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## Johnson J.L. Probability and Statistics for Computer Science

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Wiley, 2008. — 758 p. — ISBN: 0470383429, 9780470383421 Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results" Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review...
• №181
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## Johnson J.L. Probability and Statistics for Computer Science

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Wiley-Interscience, 2008. - 760 Pages. Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results". Special emphases on simulation and discrete decision theory. Mathematically-rich, but self-contained text, at a gentle pace. Review of calculus and...
• №182
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## Johnson R.A. Miller & Freund's Probability and Statistics for Engineers

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Pearson, 2017. - 552p. - ISBN 9th. Global edition For an introductory, one or two semester, or sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students. An Applications-Focused Introduction to Probability and Statistics Miller & Freund's Probability and Statistics for Engineers is rich in...
• №183
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## Johnston D. Random number generators - principles and practices: a guide for engineers and programmers

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Berlin: Walter de Gruyter GmbH, 2018. — 436 p. — ISBN 978-1-5015-0606-2. Random Number Generators, Principles and Practices has been written for programmers, hardware engineers, and sophisticated hobbyists interested in understanding random numbers generators and gaining the tools necessary to work with random number generators with confidence and knowledge. Using an approach that...
• №184
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## Jørgensen B. Statistical Properties of the Generalized Inverse Gaussian Distribution

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New York: Springer, 1982. — 196 p. Front Matter Introduction Basic properties Related distributions Maximum Likelihood Estimation Inference The hazard function. Lifetime models Examples Back Matter
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## Kallenberg O. Probabilistic Symmetries and Invariance Principles

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Springer, 2005 — 510 p. This is the first comprehensive treatment of the three basic symmetries of probability theory—contractability, exchangeability, and rotatability—defined as invariance in distribution under contractions, permutations, and rotations. Originating with the pioneering work of de Finetti from the 1930's, the theory has evolved into a unique body of deep,...
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## Karr A. Point Processes and Their Statistical Inference

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2nd Edition. — New York: CRC / Marcel Dekker, Inc., 1991. — 510 p. — ISBN: 0-8247-8532-0 Inference for stochastic processes seems to have become a distinct subfield of probability and statistics. No longer viewed as falling between probability and statistics but part of neither, it is now recognized as spanning both. Questions of inference are current important concerns — not...
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## Katz N.M., Sarnak P. Random Matrices, Frobenius Eigenvalues, and Monodromy

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Philadelphia: American Mathematical Society, 1998. — 436 p. The main topic of this book is the deep relation between the spacings between zeros of zeta and \$L\$-functions and spacings between eigenvalues of random elements of large compact classical groups. This relation, the Montgomery-Odlyzko law, is shown to hold for wide classes of zeta and \$L\$-functions over finite fields. The...
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## Kenett R., Zacks S., Amberti D. Modern Industrial Statistics: with applications in R, MINITAB and JMP

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2nd ed. — Wiley, 2014. — 592 p. — (Statistics in Practice). — ISBN 1118456068, 9781118456064. fully revised and updated, this book combines a theoretical background with examples and references to R, minitab and Jmp, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include...
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## Kerns G.J. Introduction to Probability and Statistics Using R

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G. Jay Kerns, 2010. - 386 pages. This book was expanded from lecture materials I use in a one semester upper-division undergraduate course entitled Probability and Statistics at Youngstown State University. Those lecture materials, in turn, were based on notes that I transcribed as a graduate student at Bowling Green State University. The course for which the materials were...
• №190
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## Kersting G., Vatutin V. Discrete Time Branching Processes in Random Environment

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Wiley-ISTE, 2017. — 296 p. — (Branching Processes, Branching Random Walks and Branching Particle Fields Set: Volume 1). — ISBN 978-1-78630-252-6. Branching processes are stochastic processes which represent the reproduction of particles, such as individuals within a population, and thereby model demographic stochasticity. In branching processes in random environment (BPREs),...
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## Khrennikov A. Probability and Randomness: Quantum Versus Classical

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Singapore: World Scientific Publishing Co. Pte. Ltd., 2016. — 299 p. Creating a rigorous mathematical theory of randomness is far from being complete, even in the classical case. Probability and Randomness: Quantum versus Classical rectifies this and introduces mathematical formalisms of classical and quantum probability and randomness with brief discussion of their interrelation...
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## Kinney J.J. A Probability and Statistics Companion

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John Wiley & Sons, Inc.2009 This book has been written to provide instructors with material on important topics in probability and statistics so that they may be included in introductory courses. In addition, it provides instructors with examples that go beyond those commonly used. These examples have been developed from author's long experience with students and with teachers...
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## Kinney J.J. Probability: An Introduction with Statistical Applications

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Second Edition. — N.-Y.: Wiley, 2014. — 480 p. — ISBN: 978-1118947081. Praise for the First Edition: "This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory." - The Statistician. Thoroughly updated, Probability: An...
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## Klebanov L.B. N-Distances and their Applications

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Charles University, 2005. — 91 p. The book focuses on probability metrics suitable for the characterization of random variables in Hilbert or Banach space. It provides details of various stochastic processes, such as testing non-deterministic statistical hypotheses, characterization of probability distribution or constructing multidimensional test for two selections. The book is...
• №195
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## Knill Oliver. Probability and Stochastic Processes with Applications

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Unpublished, 2008. — 382 p. These notes grew from an introduction to probability theory taught during the ﬁrst and second term of 1994 at Caltech. There was a mixed audience of undergraduates and graduate students in the ﬁrst half of the course which covered Chapters 2 and 3, and mostly graduate students in the second part which covered Chapter 4 and two sections of Chapter 5....
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## Kobayashi H., Mark B.L., Turin W. Probability, Random Processes, and Statistical Analysis

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Cambridge University Press, 2012. — 812 p. Together with the fundamentals of probability, random processes, and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation,...
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## Kochs H.-D. System Dependability Evaluation Including S-dependency and Uncertainty: Model-Driven Dependability Analyses

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New York: Springer, 2017. — 374 p. The best suited approaches for practical system dependability modeling and calculation, (1) the minimal cut approach, (2) the Markov process approach, and (3) the Markov minimal cut approach as a combination of (1) and (2) are described in detail and applied to several examples. The stringently used Boolean logic during the whole development...
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## Kovchegov Y., Otto P.T. Path Coupling and Aggregate Path Coupling

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Springer International Publishing AG, 2018. — 104 p. — (SpringerBriefs in Probability and Mathematical Statistics). — ISBN 3319770187. This book describes and characterizes an extension to the classical path coupling method applied to statistical mechanical models, referred to as aggregate path coupling. In conjunction with large deviations estimates, the aggregate path coupling...
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## Kovchegov Y., Otto P.T. Path Coupling and Aggregate Path Coupling

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Springer International Publishing AG, 2018. — 118 p. — (SpringerBriefs in Probability and Mathematical Statistics). — ISBN 3319770187. This book describes and characterizes an extension to the classical path coupling method applied to statistical mechanical models, referred to as aggregate path coupling. In conjunction with large deviations estimates, the aggregate path coupling...
• №200
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## Kühn F. Lévy Matters VI: Lévy-Type Processes: Moments, Construction and Heat Kernel Estimates

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Berlin: Springer, 2017. — 264 p. Presenting some recent results on the construction and the moments of Lévy-type processes, the focus of this volume is on a new existence theorem, which is proved using a parametrix construction. Applications range from heat kernel estimates for a class of Lévy-type processes to existence and uniqueness theorems for Lévy-driven stochastic...
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## Lanchier Nicolas. Stochastic Modeling

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New York: Springer, 2017. — 301 p. Three coherent parts form the material covered in this text, portions of which have not been widely covered in traditional textbooks. In this coverage the reader is quickly introduced to several different topics enriched with 175 exercises which focus on real-world problems. Exercises range from the classics of probability theory to more...
• №202
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## Laplace P.-S. Theorie des probabilites

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Paris: Gauthier~Villars, 1886. — 820 p. Седьмой том собрания сочинений Пьера Симона де Лапласа, содержащий работы по теории вероятностей - "Аналитическую теорию вероятностей" и дополнения к ней. Язык французский.
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## Laudanski L.M. Between Certainty and Uncertainty: Statistics and Probability in Five Units with Notes on Historical Origins and Illustrative Numerical Examples

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N.-Y.: Springer, 2013. - 303p. „Between Certainty & Uncertainty is a one-of–a-kind short course on statistics for students, engineers and researchers. It is a fascinating introduction to statistics and probability with notes on historical origins and 80 illustrative numerical examples organized in the five units: · Chapter 1 Descriptive Statistics: Compressing small samples,...
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## Lawrence A. Probability in Physics: An Introductory Guide by Andy Lawrence

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Springer, 2019. — 361 p. — (Undergraduate Lecture Notes in Physics). — ISBN 978-3-030-04542-5. This textbook presents an introduction to the use of probability in physics, treating introductory ideas of both statistical physics and of statistical inference, as well the importance of probability in information theory, quantum mechanics, and stochastic processes, in a unified...
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## Leadbetter R., Cambanis S., Pipiras V. A Basic Course in Measure and Probability: Theory for Applications

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Cambridge University Press, 2014. — 376 p. Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for...
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## Lefebvre M. Applied Probability and Statistics

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New York: Springer, 2006. — 363 p. This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life....
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## Lehmann E. Fisher, Neyman, and the Creation of Classical Statistics

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Publisher: Springer; 2011 edition (August 3, 2011), Paperback: 115 pages, ISBN-10: 1441994998 ISBN-13: 978-1441994998 Written by the pre-eminent E. L Lehman Examines the history of statistics through the personal and professional relationships of Neyman and Fisher, two of the discipline's most influential contributors Creates a personal account of the creation of hypothesis...
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## Leiva V. The Birnbaum-Saunders Distribution

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Amsterdam: Elsevier, 2016. — 145 p. The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data). The book describes the most recent theoretical developments of this model, including properties, transformations...
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## Levin D.A., Peres Y., Wilmer E.L. Markov Chains and Mixing Times

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American Mathematical Society, 2009. — 371 p. This book is an introduction to the modern approach to the theory of Markov chains. The main goal of this approach is to determine the rate of convergence of a Markov chain to the stationary distribution as a function of the size and geometry of the state space. The authors develop the key tools for estimating convergence times,...
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## Levin D.A., Peres Y., Wilmer E.L. Markov Chains and Mixing Times

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2nd Edition. — American Mathematical Society, 2017. — 461 p. — ISBN-10 1470429624. This book is an introduction to the modern theory of Markov chains, whose goal is to determine the rate of convergence to the stationary distribution, as a function of state space size and geometry. This topic has important connections to combinatorics, statistical physics, and theoretical computer...
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## Li S., Wang X., Okazaki Y., Kawabe J., Murofushi T., Guan L. (eds.) Nonlinear Mathematics for Uncertainty and its Applications

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Berlin: Springer, 2011. — 707 p. This volume is a collection of papers presented at the international conference on Nonlinear Mathematics for Uncertainty and Its Applications (NLMUA2011), held at Beijing University of Technology during the week of September 7--9, 2011. The conference brought together leading researchers and practitioners involved with all aspects of nonlinear...
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## Lin Zhengyan, Wang Hanchao. Weak Convergence and its Applications

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World Scientific, 2014. — 185 p. The book is devoted to the theory of weak convergence of probability measures on metric spaces. There are many books concerning the weak convergence, for example, Ethier and Kurtz (1986), van der Vaart and Wellner (1996), Billingsley (1999), Jacod and Shiryaev (2003) and so on. The emphasis of these books are diﬀerent. Statistics and econometrics...
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## Linde W. Probability Theory: A First Course in Probability Theory and Statistics

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Walter de Gruyter GmbH, Berlin, Boston, 2016. — 411 p. — ISBN-10 3110466171. This book provides a clear, precise, and structured introduction to stochastics and probability theory. It includes many descriptive examples, such as games of chance, which help promote understanding. Thus, the textbook is not only an ideal accompaniment to courses as an introduction to probability...
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## Lindley D.V. Introduction to Probability and Statistics from a Bayesian Viewpoint. Part 1: Probability

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Cambridge: Cambridge University Press, 1980. — 135 p. The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought...
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## Lindley D.V. Introduction to Probability and Statistics from a Bayesian Viewpoint. Part 2: Inference

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Cambridge University Press, 1980. - 306 pages. ISBN: 0521298660, 0521055636 The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate...
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## Livan G., Novaes M., Vivo P. Introduction to Random Matrices: Theory and Practice

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Springer International Publishing AG, 2018. — 122 p. — (SpringerBriefs in Mathematical Physics 26) — ISBN 331970883X. Modern developments of Random Matrix Theory as well as pedagogical approaches to the standard core of the discipline are surprisingly hard to find in a well-organized, readable and user-friendly fashion. This slim and agile book, written in a pedagogical and...
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## Loewe B. et al. (eds) Foundations of the Formal Sciences VI: Probabilistic Reasoning and Reasoning with Probabilities

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London: College Publications, 2009. — 230 p. Probabilistic methods are increasingly becoming an important tool in a variety of disciplines including computer science, mathematics, artificial intelligence, epistemology, game and decision theory and linguistics. In addition to the discussion on applications of probabilistic methods there is an important philosophical debate...
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## Maciejewski R. Data Representations, Transformations, and Statistics for Visual Reasoning

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N.-Y.: Morgan & Claypool Publishers, 2011. - 87p. Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making. Recently, the analytical reasoning process has been augmented through the use of interactive visual representations and tools which utilize cognitive,...
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## Mano S. Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics

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Springer, 2018. — 140 p. — (SpringerBriefs in Statistics). — ISBN 4431558861. This book focuses on statistical inferences related to various combinatorial stochastic processes. Specifically, it discusses the intersection of three subjects that are generally studied independently of each other: partitions, hypergeometric systems, and Dirichlet processes. The Gibbs partition is a...
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## Marinucci D., Peccati G. Random Fields on the Sphere: Representation, Limit Theorems and Cosmological Applications

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Cambridge, UK: Cambridge University Press, 2011. — 354 p. — (London Mathematical Society Lecture Note Series 389). — ISBN 0521175615. Random Fields on the Sphere presents a comprehensive analysis of isotropic spherical random fields. The main emphasis is on tools from harmonic analysis, beginning with the representation theory for the group of rotations SO(3). Many recent...
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## Marsaglia G. Random number generators

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New York: JMASM, 2003. - 12 p. The author discusses some promising new random number generators, as well as formulates the mathematical basis that makes them random variables in the same sense as more familiar ones in probability and statistics, emphasizing his view that randomness exists only in the sense of mathematics. He discusses the need for adequate seeds that provide...
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## Mathai A.M., Haubold H.J. Probability and Statistics: A Course for Physicists and Engineers

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Berlin: Walter De Gruyter, 2017. — 604 p. — (De Gruyter Textbook). This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model...
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## McKean H. Probability: The Classical Limit Theorems

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Cambridge University Press, 2014. — 488 p. — ISBN: 9781107053212 Probability theory has been extraordinarily successful at describing a variety of phenomena, from the behaviour of gases to the transmission of messages, and is, besides, a powerful tool with applications throughout mathematics. At its heart are a number of concepts familiar in one guise or another to many: Gauss'...
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## McNicholas P.D. Mixture Model-Based Classification

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Taylor & Francis Group, LLC, 2017. — 251 p. — ISBN: 1482225662 "This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric...
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## Meeker W., Hahn G., Escobar L. Statistical Intervals: A Guide for Practitioners and Researchers

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2nd Edition. — Wiley, 2017. — 631 p. — (Wiley Series in Probability and Statistics). — ISBN 978-0-471-68717-7. Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format. Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first...
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## Meeker W., Hahn G., Escobar L. Statistical Intervals: A Guide for Practitioners and Researchers

• djvu
2nd Edition. — Wiley, 2017. — 631 p. — (Wiley Series in Probability and Statistics). — ISBN 978-0-471-68717-7. Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format. Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first...
• №227
• 5,95 МБ
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## Mehta M.L. Random Matrices

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3rd ed. — Academic Press, 2004. — 688 p. This book gives a coherent and detailed description of analytical methods devised to study random matrices. These methods are critical to the understanding of various fields in mathematics and mathematical physics, such as nuclear excitations, ultrasonic resonances of structural materials, chaotic systems, the zeros of the Riemann and other...
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## Mendenhall W., Beaver R.J., Beaver B.M. Introduction to Probability and Statistics

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Duxbury Press, 2012. – 744 p. in color – 14th Edition – ISBN: 1133103758, 9781133103752. Used by hundreds of thousands of students, Introduction to Probability and Statistics, Fourteenth Edition, blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts-and see their relevance to your everyday life. The new edition retains the...
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## Mendenhall W., Beaver R.J., Beaver B.M. Introduction to Probability and Statistics

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Brook/Cole, 2008. - 768 pages. 13 edition Used by hundreds of thousands of students, market-leading "Introduction to Probability and Statistics", Thirteenth Edition, blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts-and see their relevance to your everyday life. The new thirteenth edition retains the text's...
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## Mendenhall W., Beaver R.J., Beaver B.M., Ahmed S.E. Introduction to Probability and Statistics

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3rd Canadian Edition. — Nelson Education Ltd., 2014. — 823 p. — ISBN-13 9780176509804. INTRODUCTION TO PROBABILITY AND STATISTICS is one of the first texts published by Duxbury and has been blending innovation with tradition for over thirty years. It was the first statistics text to include case studies in it, and now in the eleventh edition, this text is the first to include java...
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## Mendenhall W.M., Sincich T.L., Boudreau N.S. Statistics for Engineering and the Sciences

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CRC Press, 2016. - 1182p. - ISBN: 1498728855 6th.ed. Statistics for Engineering and the Sciences, Sixth Edition is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statistical inference as well as the...
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## Mendenhall W.M., Sincich T.L., Boudreau N.S. Statistics for Engineering and the Sciences

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6th Edition. – Taylor & Francis Group, LLC, 2017. — 458 p. — ISBN: 1498731821 A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises. Contents Introduction Descriptive Statistics Probability Discrete Random Variables Continuous Random...
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## Miles Jeremy, Shevlin Mark. Applying Regression and Correlation: A Guide for Students and Researchers

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SAGE Publications, 2007. — 261 p. This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach. The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can...
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## Misra J.C. (ed.) Uncertainty and Optimality: Probability, Statistics and Operations Research

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Ruver Edge: World Scientific, 2002. — 558 p. This text deals with different modern topics in probability, statistics and operations research. Wherever necessary, the theory is explained in great detail, with illustrations. Numerous references are given, in order to help young researchers who want to start their work in a particular area. The contributors are distinguished...
• №235
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## Mitzenmacher M., Upfal E. Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis

• djvu
Cambridge: Cambridge University Press, 2017. — 490 p. Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC...
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## Montgomery D.C., Runger G.C. Applied Statistics and Probability for Engineers

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7th ed. — Wiley, 2018. — 710 p. in color. — ISBN 9781119400301. Applied Statistics and Probability for Engineers provides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers by including a rich collection of examples and problem sets that reflect realistic applications and situations. This product focuses...
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## Montgomery D.C., Runger G.C. Applied Statistics and Probability for Engineers

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Wiley, 2010. - 784 pages. 5th Edition Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are...
• №238
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## Montgomery D.C., Runger G.C. Applied Statistics and Probability for Engineers

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Wiley, 2013. — 836 p. — 6th ed. — ISBN: 1118539710, 9781118539712 This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It is packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. This text shows...
• №239
• 15,43 МБ
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## Montgomery Douglas C., Runger George C. Applied Statistics and Probability for Engineers

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Third Edition. - Wiley, 2003. - 822 p. This is an introductory textbook for a first course in applied statistics and probability for undergraduate students in engineering and the physical or chemical sciences. These individuals play a significant role in designing and developing new products and manufacturing systems and processes, and they also improve existing systems....
• №240
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## Montgomery Douglas C., Runger George C. Applied Statistics and Probability for Engineers. Student Solutions Manual

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3rd Edition. — John Wiley & Sons, Inc., 2003. — 157 p. The purpose of this ‘‘Student Solutions Manual’’ is to provide you with additional help in understanding the problem-solving processes presented in ‘‘Applied Statistics and Probability for Engineers.’’ The ‘‘Applied Statistics’’ text includes a section entitled ‘‘Answers to Selected Exercises,’’ which contains the final...
• №241
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## Mukhopadhyay N. Probability and Statistical Inference

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CRC Press, 2000. – 690 p. – ISBN: 0824703790, 9780824703790. Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate...
• №242
• 18,80 МБ
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## Nelson R. Probability, Stochastic Processes and Queueing Theory. The Mathematics of Computer Performance Modeling

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New York: Springer, 1995. — 590 p. — ISBN 9780387944524, 0387944524. This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modeling. The author's aim is to derive probability theory in a way that highlights the complementary nature of its formal, intuitive, and applicative...
• №243
• 11,71 МБ
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## Neuts M.F. Algorithmic Probability: A Collection of Problems

• djvu
New York: Chapman & Hall, 1998. — 478 p. This unique text collects more than 400 problems in combinatorics, derived distributions, discrete and continuous Markov chains, and models requiring a computer experimental approach. The first book to deal with simplified versions of models encountered in the contemporary statistical or engineering literature, Algorithmic Probability...
• №244
• 5,06 МБ
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## Nikulin M.S., Limnios N., Balakrishnan N., Kahle W., Huber-Carol C. (eds.) Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance

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Basel: Birkhäuser, 2010. — 435 p. This volume—dedicated to William Q. Meeker on the occasion of his sixtieth birthday—is a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics, and finance. Specific topics...
• №245
• 6,91 МБ
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## Nourdin I., Peccati G. Normal Approximations with Malliavin Calculus: From Stein's Method to Universality

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Cambridge: Cambridge University Press, 2012. — 256 p. Stein's method is a collection of probabilistic techniques that allow one to assess the distance between two probability distributions by means of differential operators. In 2007, the authors discovered that one can combine Stein's method with the powerful Malliavin calculus of variations, in order to deduce quantitative...
• №246
• 1,16 МБ
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## Nualart D., Nualart E. Introduction to Malliavin Calculus

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Cambridge University Press, 2018. — 250 p. — ISBN 978-1-107-03912-4. This textbook offers a compact introductory course on Malliavin calculus, an active and powerful area of research. It covers recent applications, including density formulas, regularity of probability laws, central and non-central limit theorems for Gaussian functionals, convergence of densities and non-central...
• №247
• 2,91 МБ
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## Ogunnaike B.A. Random Phenomena: Fundamentals of Probability and Statistics for Engineers

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CRC, 2009. — 1056 p. Many of the problems that engineers face involve randomly varying phenomena of one sort or another. However, if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis. Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, Random Phenomena:...
• №248
• 6,73 МБ
• дата добавления неизвестна
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## Olofsson P., Andersson M. Probability, Statistics, and Stochastic Processes

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Wiley, 2012. – 573 p. – 2nd Ed. – ISBN: 0470889748, 9780470889749 Thoroughly updated to showcase the interrelationships between probability, statistics, and stochastic processes, Probability, Statistics, and Stochastic Processes, Second Edition prepares readers to collect, analyze, and characterize data in their chosen fields. Beginning with three chapters that develop...
• №249
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## Pardo L., Balakrishnan N., Gil M.A. (eds.) Modern Mathematical Tools and Techniques in Capturing Complexity

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Berlin: Springer, 2011.— 490 p. Real-life problems are often quite complicated and, for centuries, Mathematics has provided the necessary tools and ideas to formulate these problems mathematically and then help in solving them either exactly or approximately. This book aims to gather a collection of papers dealing with several different problems arising from many disciplines and...
• №250
• 7,00 МБ
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## Patrick D. Intermediate Counting and Probability

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2nd Edition. — Alpine, USA: AoPS Incorporated, 2012. — 290 p. — ISBN 1934124060. AoPS 2-Book Set : Art of Problem Solving AoPS Intermediate Counting and Probability Textbook and Solutions Manual 2-Book Set : Continue your exploration of more advanced counting and probability topics from former USA Mathematical Olympiad winner David Patrick. This book is the follow-up to the...
• №251
• 72,15 МБ
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## Patrick D., Sato N. Intermediate Counting and Probability Solution Manual

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Textbook. — Alpine, CA: AOPS Incorporated, 2012. — 208 p. — ISBN 978-1-934124-07-9. This book contains the full solution, not just answers, of the exercises and problems in the text Intermediate Counting and Probability . Sets and Logic A Piece of PIE Constructive Counting and 1-1 Correspondnces The Pigeonhole Principle Constructive Expectation Distributions Mathematical Induction...
• №252
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## Paulauskas, V., Račkauskas, A. Approximation Theory in the Central Limit Theorem: Exact Results in Banach Spaces

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Kluwer Academic Publishers, 1989. — 156 p. Contents: General Questions of the Distribution Theory in Banach Spaces Some Questions of Non-Linear Analysis The Central Limit Theorem in Banach Spaces Gaussian Measure of ε-Strip of Some Sets Estimates of Rate of Convergence in the Central Limit Theorem
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• 12,92 МБ
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## Pearl Judea. Causality: Models, Reasoning, and Inference

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2nd edition. — Cambridge University Press, 2009. — 487 p. Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics,...
• №254
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## Peters Jonas, Janzing Dominik, Schölkopf Bernhard. Elements of Causal Inference: Foundations and Learning Algorithms

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The MIT Press, 2017. — 288 p. — (Adaptive Computation and Machine Learning series). — ISBN-10 0262037319; ISBN-13 978-0262037310. A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.
• №255
• 20,96 МБ
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## Pinelis I. (ed.) Inequalities and Extremal Problems in Probability and Statistics: Selected Topics

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Academic Press, 2017. - 189 p. - ISBN 012809818X Inequalities play a fundamental role in mathematics and its many applications. Especially in the statistics and probability literature, there are many more limit theorems than inequalities. However, usually at the heart of a good limit theorem is at least one good inequality. This should become clear if one recalls the deﬁnition of...
• №256
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## Podolskij M., Stelzer R., Thorbjørnsen S., Veraart A.E.D. (Eds.) The Fascination of Probability, Statistics and their Applications: In Honour of Ole E. Barndorff-Nielsen

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New York: Springer, 2016. - 529p. Collecting together twenty-three self-contained articles, this volume presents the current research of a number of renowned scientists in both probability theory and statistics as well as their various applications in economics, finance, the physics of wind-blown sand, queueing systems, risk assessment, turbulence and other areas. The...
• №257
• 8,43 МБ
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## Pownuk A., Kreinovich V. Combining Interval Probabilistic and other Types of Uncertainty in Engineering Applications

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New York: Springer, 2018. — 207 p. How can we solve engineering problems while taking into account data characterized by different types of measurement and estimation uncertainty: interval, probabilistic, fuzzy, etc.? This book provides a theoretical basis for arriving at such solutions, as well as case studies demonstrating how these theoretical ideas can be translated into...
• №258
• 1,59 МБ
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## Prakasa Rao B.L.S. Identifiability in Stochastic Models. Characterization of Probability Distributions

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New York: Academic Press, 1992. — 256 p. The problem of identifiability is basic to all statistical methods and data analysis, occurring in such diverse areas as Reliability Theory, Survival Analysis, and Econometrics, where stochastic modeling is widely used. Mathematics dealing with identifiability per se is closely related to the so-called branch of "characterization problems"...
• №259
• 11,70 МБ
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## Privault Nicolas. Notes on Markov Chains

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Unpublished, 2017. - 532 p. Stochastic and Markovian modeling are of importance to many areas of science including physics, biology, engineering, as well as in economics, ﬁnance, and social sciences. This text is an undergraduate-level introduction to the Markovian modeling of time-dependent randomness in discrete and continuous time, mostly on discrete state spaces. The emphasis...
• №260
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## Privault Nicolas. Stochastic Analysis in Discrete and Continuous Settings With Normal Martingales

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Unpublished, 2017. - 322 p. This monograph is an introduction to some aspects of stochastic analysis in the framework of normal martingales, in both discrete and continuous time. The text is mostly self-contained, except for Section 5.7 that requires some background in geometry, and should be accessible to graduate students and researchers having already received a basic training...
• №261
• 1,36 МБ
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## Pugachev V.S. Probability Theory and Mathematical Statistics for Engineers

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Oxford: Pergamon Press, 1984. — 472 — ISBN: 0080291481, 9780080291482. Probability Theory and Mathematical Statistics for Engineers focuses on the concepts of probability theory and mathematical statistics for finite-dimensional random variables. The book underscores the probabilities of events, random variables, and numerical characteristics of random variables. Discussions focus...
• №262
• 25,39 МБ
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## Qi Y., Peng L. Inference for Heavy-Tailed Data: Applications in Insurance and Finance

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Academic Press, 2017. — 178 p. — ISBN 978-0-12-804676-0. Heavy tailed data appears frequently in social science, internet traffic, insurance and finance. Statistical inference has been studied for many years, which includes recent bias-reduction estimation for tail index and high quantiles with applications in risk management, empirical likelihood based interval estimation for...
• №263
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## Rabi Bhattacharya et al. A Course in Mathematical Statistics and Large Sample Theory

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Springer, 2016. — 386 p. This book is primarily aimed at graduate students of statistics, mathematics, science and engineering who have had an undergraduate course in statistics, an upper division course in analysis and some acquaintance with measure theoretic probability. We have often taught courses based on it with very little emphasis on measure theory. Part I is designed as a...
• №264
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## Rachev S.T. et al. The Methods of Distances in the Theory of Probability and Statistics

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Springer, 2013 – 615 p. – ISBN: 1461448689, 9781461448693 This book covers the method of metric distances and its application in probability theory and other fields. The method is fundamental in the study of limit theorems and generally in assessing the quality of approximations to a given probabilistic model. The method of metric distances is developed to study stability...
• №265
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## Rajarshi M.B. Statistical Inference for Discrete Time Stochastic Processes

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Springer, 2013. — 120 p. — ISBN 8132207629. This work is an overview of statistical inference in stationary, discrete time stochastic processes. Results in the last fifteen years, particularly on non-Gaussian sequences and semi-parametric and non-parametric analysis have been reviewed. The first chapter gives a background of results on martingales and strong mixing sequences,...
• №266
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## Rao M.M. Conditional Measures and Applications

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2nd edition. — CRC Press, 2005. — 506 p. In response to unanswered difficulties in the generalized case of conditional expectation and to treat the topic in a well-deservedly thorough manner, M.M. Rao gave us the highly successful first edition of Conditional Measures and Applications. Until this groundbreaking work, conditional probability was relegated to scattered journal...
• №267
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## Rasulov A.S., Raimova G.M., Sarimsakova X.K. Ehtimollar nazariyasi va matematik statistika

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Тoshqent: O‘zbekiston faylasuflari milliy jamiyati nashriyoti, 2006. — 272 b. Ushbu darslikda «Ehtimollar nazariyasi va matematik statistika» fanining «tasodifiy hodisalar», «tasodifiy miqdorlar va ularning funksiyalari» va «mate­matik statistika» qismlari o‘z aksini topgan. Darslikda ehtimollar nazariyasi va matematik statistika kursining amaliy mashg‘ulotlarida zamonaviy...
• №268
• 9,97 МБ
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## Rathi A. Probability & Statistics for Data Science

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Data Deft, 2019. — 56 p. — ASIN B07N18VT5C. I haven't attended any formal education in probability & statistics, whatever I have learnt in bits and pieces till now is through working on data science problems. When I look at the literature available on probability & statistics, I find it too theoretical and generalized. I have felt that there should be some literature on...
• №269
• 2,95 МБ
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## Revuz D. Markov Chains

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Revised edition. — North Holland, 1984. — 374 p. This is the revised and augmented edition of a now classic book which is an introduction to sub-Markovian kernels on general measurable spaces and their associated homogeneous Markov chains. The first part, an expository text on the foundations of the subject, is intended for post-graduate students. A study of potential theory, the...
• №270
• 10,01 МБ
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## Riguzzi F. Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning

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New York: River Publishers, 2019. — 424 p. Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory. Probabilistic Logic Programming is at the intersection of two wider research fields: the integration of logic and probability and Probabilistic Programming. Logic enables the representation of...
• №271
• 11,94 МБ
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## Rohatgi V.K., Saleh A.K.Md.E. An Introduction to Probability and Statistics

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Hoboken: Wiley, 2015. - 707 p. A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof...
• №272
• 11,55 МБ
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## Rong Li X. Probability, Random Signals, and Statistics

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Boca Raton: CRC Press, 1999. — 472 p. With this innovative text, the study-and teaching- of probability and random signals becomes simpler, more streamlined, and more effective. Its unique "textgraph" format makes it both student-friendly and instructor-friendly. Pages with a larger typeface form a concise text for basic topics and make ideal transparencies; pages with smaller...
• №273
• 24,54 МБ
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## Ross S. Simulation

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Fifth Edition. — Academic Press, 2013. — 316 p. — ISBN 978-0-12-415825-2. The 5th edition of Ross’s Simulation continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to...
• №274
• 2,73 МБ
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## Ross S.M. Introduction to Probability and Statistics for Engineers and Scientists

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Elsevier Science, 2014. — 730 p. — 5th ed. — ISBN: 0123948118, 9780123948113 Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems ultimately resulting in an intuitive...
• №275
• 8,67 МБ
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## Ross Sheldon M. Introduction to Probability and Statistics for Engineers and Scientists

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Third Edition — Elsevier Academic Press, 2004. — 624 p. The third edition of this book continues to demonstrate how to apply probability theory to gain insight into real, everyday statistical problems and situations. As in the previous editions, carefully developed coverage of probability motivates probabilistic models of real phenomena and the statistical procedures that...
• №276
• 2,29 МБ
• дата добавления неизвестна
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## Roussas G.G. An Introduction to Measure-Theoretic Probability

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2nd edition. — Academic Press, 2014. — 535 p. — ISBN 978-0-12-800042-7. An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching the basics of measure theoretic probability. This book provides in a concise, yet detailed way, the bulk of the probabilistic tools that a student working toward an advanced degree in statistics,...
• №277
• 5,32 МБ
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## Roussas G.G. An Introduction to Probability and Statistical Inference

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Academic Press, 2003. - 523 pages. ISBN-10: 0125990200 Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must be properly collected, analyzed and interpreted in order for the results to be used with confidence. Roussas introduces...
• №278
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## Sahoo Prasanna. Probability and mathematic statistics

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University of Louisville, 2013. — 712 p. Probability of Events Conditional Probability and Bayes’ Theorem Random Variables and Distribution Functions Moments of Random Variables and Chebychev Inequality Some Special Discrete Distributions Some Special Continuous Distributions Two Random Variables Product Moments of Bivariate Random Variables Conditional Expectations of Bivariate...
• №279
• 5,10 МБ
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## Schay G. Introduction to Probability with Statistical Applications

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Birkhäuser, 2016. — 385 p. — ISBN: 3319306189 Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and...
• №280
• 4,04 МБ
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## Scheaffer R.L., Mulekar M., McClave J.T. Probability and Statistics for Engineers

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Duxbury Press, 2010. — 818 p. "Probability and Statistics for Engineers" provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreting results. Traditional topics are presented thorough an accessible modern framework that emphasizes the statistical thinking, data collection and...
• №281
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## Schiller J., Alu Srinivasan R., Spiegel M. Schaum’s Outline of Probability and Statistics

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New York: McGraw-Hill, 2012. - 433p. Tough Test Questions? Missed Lectures? Not Enough Time? Fortunately, there's Schaum's. This all-in-one-package includes more than 750 fully solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 20 detailed videos featuring Math instructors who explain how to solve the most...
• №282
• 3,50 МБ
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## Schiller J., Alu Srinivasan R., Spiegel M. Schaum’s Outline of Probability and Statistics

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McGraw-Hill Companies, 2001. — 159 p. — ISBN: 0-07-139838-4. Tough Test Questions? Missed Lectures? Not Enough Time? Fortunately, there's Schaum's. This all-in-one-package includes more than 750 fully solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 20 detailed videos featuring Math instructors who explain how...
• №283
• 1,65 МБ
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## Schiller J., Alu Srinivasan R., Spiegel M. Schaum’s Outline of Probability and Statistics

• djvu
McGraw-Hill Companies, 2001. — 159 p. — ISBN: 0-07-139838-4. Tough Test Questions? Missed Lectures? Not Enough Time? Fortunately, there's Schaum's. This all-in-one-package includes more than 750 fully solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 20 detailed videos featuring Math instructors who explain how...
• №284
• 2,03 МБ
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## Schinazi R.B. Probability with Statistical Applications

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2nd ed. — Birkhäuser, 2011. — 343 p. — ISBN: 081768249X, 9780817682491 This second edition textbook offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common...
• №285
• 2,11 МБ
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## Schwarz W. 40 Puzzles and Problems in Probability and Mathematical Statistics

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Springer, 2008. — 138 p. — ISBN-13 978-0-387-73511-5. This book is based on the view that cognitive skills are best acquired by solving challenging, non-standard probability problems. Many puzzles and problems presented here are either new within a problem solving context (although as topics in fundamental research they are long known) or are variations of classical problems which...
• №286
• 1,33 МБ
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## Schweitzer F., Farmer J.D. Brownian Agents and Active Particles: Collective Dynamics in the Natural and Social Sciences

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New York: Springer, 2007. — 426 p. This book lays out a vision for a coherent framework for understanding complex systems. By developing the genuine idea of Brownian agents, the author combines concepts from informatics, such as multiagent systems, with approaches of statistical many-particle physics. It demonstrates that Brownian agent models can be successfully applied in many...
• №287
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## Schweizer B., Sklar A. Probabilistic Metric Spaces

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New York: Dover Publications, 2005. — 230 p. Preface to the Dover Edition Preface Special Symbols Beginnings Menger, Developments Some Examples Šerstnev, Random Metric Spaces Topologies Tools Postscript Sets and Functions Functions on Intervals Probabilities, Integrals, Random Variables Binary Operations Metric and Related Spaces Isometries, Homotheties, Metric Transforms...
• №288
• 10,10 МБ
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## Senatov V.V. Normal Approximation: New Results, Methods and Problems

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Berlin: de Gruyter, 1998. — 377 p. The central limit theorem of probability theory asserts that, under some conditions, the distribution of a sum of random variables is approximated by the normal law. This allows us to consider in actual practice the normal distribution rather than the distribution of a sum of random variables. In other words, we can replace the distribution of a...
• №289
• 14,45 МБ
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## Seymour Lipschutz S., Lipson M. Schaum's Outline of Probability

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Second Edition. — McGraw-Hill Education, 2011. — 318 p. — (Schaum's Outlines). — ISBN 978-0071755610. More than 40 million students have trusted Schaum's Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum's Outlines cover everything from math to science, nursing to language. The main feature for all these...
• №290
• 2,90 МБ
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## Shahbaz M.Q. et al. (eds.) Ordered Random Variables: Theory and Applications

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Paris: Atlantis Press, 2016. - 300 p. Ordered Random Variables have attracted several authors. The basic building block of Ordered Random Variables is Order Statistics which has several applications in extreme value theory and ordered estimation. The general model for ordered random variables, known as Generalized Order Statistics has been introduced relatively recently by...
• №291
• 2,24 МБ
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## Shalizi Cosma Rohilla, Kontorovich Aryeh. Almost None of the Theory of Stochastic Processes

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Unpublished, 2010. — 347 p. This is intended to be a second course in stochastic processes (at least!); I am going to assume you have all had a first course on stochastic processes, using elementary probability theory. You might then ask what the added benefit is of taking this course, of re-studying stochastic processes within the framework of measure-theoretic probability, a...
• №292
• 3,80 МБ
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## Sheynin Oscar. Theory of Probability. A Historical Essay

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Unpublished, 2017. — 316 p. This book covers the history of probability up to Kolmogorov with essential additional coverage of statistics up to Fisher. Based on my work of ca. 50 years, it is the only suchlike book. Gorrochurn (2016) is similar but his study of events preceding Laplace is absolutely unsatisfactory. Hald (1990; 1998) are worthy indeed but the Continental direction...
• №293
• 1,60 МБ
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## Shi-Jian Y. Probability and Statistics Courses in the Universities in China

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ICOTS 3, 1990. Contents : Introduction. The contents and structure of courses in probability theory and mathematical statistics. Proposals from some experts. Some characteristics of the teaching materials compiled recently. Concluding remarks.
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• 765,01 КБ
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## Shiryaev A.N. Probability-1. Volume 1

• pdf
Springer-Verlag New York, 2016 — 3rd Ed. — 486p. — (Graduate Texts in Mathematics 95) — ISBN: 978-0-387-72206-1 (eBook), 978-0-387-72205-4 (Hardcover). This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks, martingales, Markov chains, the...
• №295
• 5,68 МБ
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## Shiryayev A.N. Selected Works of A.N. Kolmogorov Volume II: Probability Theory and Mathematical Statistics

• djvu
Kluwer Academic Publications, 1992. - 611p. This volume is the second of three volumes devoted to the work of one of the most prominent twentieth-century mathematicians. Throughout his mathematical work, A.N. Kolmogorov (1903-1987) showed great creativity and versatility and his wide-ranging studies in many different areas led to the solution of conceptual and fundamental problems...
• №296
• 3,54 МБ
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## Shorack G.R. Probability for statisticians

• pdf
2nd edition. — New York: Springer, 2017. — 519 p. This 2nd edition textbookoffers a rigorous introduction to measure theoretic probability with particular attention to topics of interest to mathematical statisticians—a textbook for courses in probability for students in mathematical statistics. It is recommended to anyone interested in the probability underlying modern statistics,...
• №297
• 7,56 МБ
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## Skiadas Christos H. Recent Advances In Stochastic Modeling And Data Analysis

• pdf
World Scientific Publishing Co. Re. Ltd. 2007. — 668 pages. ISBN-10: 9812709681. This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling,...
• №298
• 31,12 МБ
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## Skyrms B., Harper W.L. (eds.) Causation, Chance and Credence: Proceedings of the Irvine Conference on Probability and Causation Volume 1

• pdf
Amsterdam: Springer, 1988. — 287 p. The papers collected here are, with three exceptions, those presented at a conference on probability and causation held at the University of California at Irvine on July 15-19, 1985. The exceptions are that David Freedman and Abner Shimony were not able to contribute the papers that they presented to this volume, and that Clark Glymour who was...
• №299
• 25,50 МБ
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## Sobczak Wojciech, Konorski Jerzy, Kozlowska Jadwiga. Probabilistyka stosowana

• pdf
Gdańsk: Wydawnictwo Politechniki Gdańskiej, 2004. — 202 s. — ISBN 83-7348-086-2. Przedmowa. Przykłady i określenie zdarzeń losowych. Elementy algebry zdarzeń losowych. Aksjomatyczna i inne definicje prawdopodobieństwa. Prawdopodobieństwa warunkowe, twierdzenie Bayesa. Jednowymiarowe zmienne losowe. Zmienne losowe wielowymiarowe. Rozkłady łączne, brzegowe i warunkowe. Funkcje...
• №300
• 13,36 МБ
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## Soong T.T. Fundamentals of Probability and Statistics for Engineers

• pdf
John Wiley & Sons, 2004. — 408 p. This book was written for an introductory one-semester or two-quarter course in probability and statistics for students in engineering and applied sciences. No previous knowledge of probability or statistics is presumed but a good understanding of calculus is a prerequisite for the material. The development of this book was guided by a...
• №301
• 5,31 МБ
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## Spencer-Brown J. Probability and Scientific Inference

• djvu
London: Longmans, Green and Co, 1957. — 162 p. A classic work on using of statisrics for science.
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## Spiegel M., Stephens L. Schaum's Outline of Statistics

• pdf
6th Edition. — McGraw-Hill Education, 2018. — 600 p. — ISBN 978-1-26-001147-0. Tough Test Questions? Missed Lectures? Not Enough Time? Textbook too pricey? Fortunately, there's Schaum's. This all-in-one-package includes more than 500 fully-solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 25 detailed videos...
• №303
• 46,19 МБ
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## Spiegel M.R. Theory and Problems of Probability and Statistics

• pdf
McGraw-Hill, 1998. — 376 p. The purpose of this book is to present a modern introduction to probability and statistics using background of calculus. For convenience the book is divided into two parts. The first deals with probability (and by itself can be used to provide an introduction to the subject), while the second deals with statistics. The book is designed to be used...
• №304
• 26,86 МБ
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## Spiegel M.R. Theory and Problems of Probability and Statistics

• djvu
McGraw-Hill, 1998. — 372 p. — Series: Schaum's Outline ISBN-10: 0070602204 ISBN-13: 978-0070602205 The purpose of this book is to present a modern introduction to probability and statistics using background of calculus. For convenience the book is divided into two parts. The first deals with probability (and by itself can be used to provide an introduction to the subject),...
• №305
• 4,48 МБ
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## Spiegel M.R., Schiller J.J., Srinivasan R.A. Probability and Statistics

• pdf
McGraw-Hill, 2008. - 432 pages. Practice problems with full explanations that reinforce knowledge. Coverage of the most up-to-date developments in your course field. In-depth review of practices and applications. Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best...
• №306
• 8,98 МБ
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## Stapleton J.H. Models for Probability and Statistical Inference: Theory and Applications

• pdf
Hoboken: Wiley, 2008. — 467 p. This concise, yet thorough, book is enhanced with simulations and graphs to build the intuition of readers Models for Probability and Statistical Inference was written over a five-year period and serves as a comprehensive treatment of the fundamentals of probability and statistical inference. With detailed theoretical coverage found throughout the...
• №307
• 5,30 МБ
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## Stark H., Woods S. Probability, Statistics, and Random Processes for Engineers

• pdf
4th ed. — Pearson, 2011. — 704 p. — ISBN 978-0132311236. Probability, Statistics, and Random Processes for Engineers, 4e is a useful text for electrical and computer engineers. This book is a comprehensive treatment of probability and random processes that, more than any other available source, combines rigor with accessibility. Beginning with the fundamentals of probability...
• №308
• 8,22 МБ
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## Steyer R., Nagel W. Probability and Conditional Expectation: Fundamentals for the Empirical Sciences

• djvu
New York: John Wiley & Sons Ltd, 2017. — 591 p. Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic concepts estimated and tested in analysis of variance, regression analysis, factor analysis, structural equation modeling, hierarchical linear models and analysis of qualitative data. The authors...
• №309
• 3,54 МБ
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## Steyer R., Nagel W. Probability and Conditional Expectation: Fundamentals for the Empirical Sciences

• pdf
John Wiley & Sons Ltd, UK, 2017. — 591 p. — (Wiley Series in Probability and Statistics) — ISBN: 9781119243489 Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic concepts estimated and tested in analysis of variance, regression analysis, factor analysis, structural equation modeling,...
• №310
• 3,62 МБ
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## Stone C.J. A Course in Probability and Statistics

• djvu
Duxbury Press, 1995. - 838 pages. This author's modern approach is intended primarily for honors undergraduates or undergraduates with a good math background taking a mathematical statistics or statistical inference course. The author takes a finite-dimensional functional modeling viewpoint (in contrast to the conventional parametric approach) to strengthen the connection...
• №311
• 18,22 МБ
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## Stroock D.W. Elements of Stochastic Calculus and Analysis

• pdf
Springer International Publishing AG, 2018. — 217 p. — (CRM Short Courses). — ISBN 3319770373. This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the material coveredhere has appeared in other places, this book attempts to explain the core ideas on which that material is based. As a consequence, the presentation is more an extended...
• №312
• 2,93 МБ
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## Stroock D.W. Elements of Stochastic Calculus and Analysis

• epub
Springer International Publishing AG, 2018. — 217 p. — (CRM Short Courses). — ISBN 3319770373. This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the material coveredhere has appeared in other places, this book attempts to explain the core ideas on which that material is based. As a consequence, the presentation is more an extended...
• №313
• 5,26 МБ
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## Sugita H. Probability and Random Number: A First Guide to Randomness

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World Scientific Publishing, 2018. — 137 p. — ISBN 978-981-3228-25-2. This is a book of elementary probability theory that includes a chapter on algorithmic randomness. It rigorously presents definitions and theorems in computation theory, and explains the meanings of the theorems by comparing them with mechanisms of the computer, which is very effective in the current computer...
• №314
• 3,00 МБ
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## Suhov Y., Kelbert M. Probability and Statistics by Example. Volume 1: Basic Probability and Statistics

• pdf
Cambridge University Press, 2005. - 373 pages. Because probability and statistics are as much about intuition and problem solving, as they are about theorem proving, students can find it very difficult to make a successful transition from lectures to examinations and practice. Since the subject is critical in many modern applications, Yuri Suhov and Michael Kelbert have...
• №315
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## Suhov Y., Kelbert M. Probability and Statistics by Example. Volume 2. Markov Chains: A Primer in Random Processes and their Applications

• pdf
Cambridge University Press, 2008. - 504 Pages. Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many...
• №316
• 2,64 МБ
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## Sveshnikov A.A. Problems in Probability Theory, Mathematical Statistics and Theory of Random Functions

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Dover Publications, 1979. — 491 p. — ISBN: 0486637174, 9780486637174 Series: Dover Books on Mathematics Sveshnikov gives a very brief introduction to each topic, with definitions and formulae presented without proofs, followed by a couple of worked examples, and a couple pages of problems. Answers to all problems are in the back, making it ideal for self-study. If you have...
• №317
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## Swartz T. Introduction to Probability and Statistics

• pdf
Boston: Pearson, 2014. — 383 p. Custom edition for the University of Victoria, edited 2014 by M. Lesperance. Contents: Introduction Descriptive Statistics Exercises Probability Examples Exercises Discrete Distributions Exercises Continuous Distributions Exercises Inference Single Sample Examples Exercises Inference Two Samples Exercises Index Solutions to Selected Exercises...
• №318
• 14,69 МБ
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## Taboga M. Lectures on Probability Theory and Mathematical Statistics

• pdf
New York: CreateSpace Independent Publishing Platform, 2012. — 657 p. This book is a collection of lectures on probability theory and mathematical statistics. It provides an accessible introduction to topics that are not usually found in elementary textbooks. It collects results and proofs, especially on probability distributions, that are hard to find in standard references and...
• №319
• 2,36 МБ
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## Tam Bang Vu. Seeing the Future. How to Build Basic Forecasting Models

• pdf
Business Expert Press, 2015. — 284 p. If you are a business person, who desires to forecast demands and sales, or a researcher, who wishes to predict a future event, this textbook is for you. The book is also written for upper-division undergraduate students, first year MBA students, and other readers who wish to acquire fundamental knowledge of quantitative forecasting. A team of...
• №320
• 8,24 МБ
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## Tantar A.A. et al. (eds.) EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI

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New York: Springer, 2018. — 233 p. This book comprises selected research papers from the 2015 edition of the EVOLVE conference, which was held on June 18–June 24, 2015 in Iași, Romania. It presents the latest research on Probability, Set Oriented Numerics, and Evolutionary Computation. The aim of the EVOLVE conference was to provide a bridge between probability, set oriented...
• №321
• 23,39 МБ
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## Tao T. Topics in Random Matrix Theory

• pdf
Providence: American Mathematical Society, 2012. — 298 p. The field of random matrix theory has seen an explosion of activity in recent years, with connections to many areas of mathematics and physics. However, this makes the current state of the field almost too large to survey in a single book. In this graduate text, we focus on one specific sector of the field, namely the...
• №322
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## Tavaré S., Zeitouni O. Lectures on Probability Theory and Statistics

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Springer, 2008. - 315 pages. This volume contains lectures given at the 31st Probability Summer School in Saint-Flour (July 8-25, 2001). Simon Tavaré’s lectures serve as an introduction to the coalescent, and to inference for ancestral processes in population genetics. The stochastic computation methods described include rejection methods, importance sampling, Markov chain...
• №323
• 2,12 МБ
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## Tiago de Oliveira J. (ed.) Statistical Extremes and Applications

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Amsterdam: Springer, 1984. — 690 p. The first references to statistical extremes may perhaps be found in the Genesis (The Bible, vol. I): the largest age of Methu'selah and the concrete applications faced by Noah-- the long rain, the large flood, the structural safety of the ark --. But as the pre-history of the area can be considered to last to the first quarter of our century,...
• №324
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## Touri B. Product of Random Stochastic Matrices and Distributed Averaging

• pdf
Berlin: Springer, 2012. - 152p. The thesis deals with averaging dynamics in a multiagent networked system, which is a main mechanism for diffusing the information over such networks. It arises in a wide range of applications in engineered physical networks (such as mobile communication and sensor networks), as well as social and economic networks. The thesis provides in depth...
• №325
• 1,56 МБ
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## Trivedi K.S. Probability and Statistics with Reliability, Queueing, and Computer Science Applications

• pdf
Wiley, 2001. — 867 p. An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to...
• №326
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## Trivedi K.S. Probability and Statistics with Reliability, Queuing and Computer Science Applications

• pdf
Second ed. — Wiley, 2016. — 869 p. — ISBN 0471460818, 9780471460817. An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov...
• №327
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## Tsirelson B., Werner W. Lectures on Probability Theory and Statistics: École d'été de probabilités de Saint-Flour 2002

• pdf
N.-Y.: Springer, 2004. - 206p. This is yet another indispensable volume for all probabilists and collectors of the Saint-Flour series, and is also of great interest for mathematical physicists. It contains two of the three lecture courses given at the 32nd Probability Summer School in Saint-Flour (July 7-24, 2002). Tsirelson's lectures introduce the notion of nonclassical noise...
• №328
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## Tsonis A.A. Randomnicity. Rules and Randomness in the Realm of the Infinite

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Singapore: World Scientific Publishing Co. Pte. Ltd.: 2008. — 204 p. The Three Parts of Everything Sources of Randomness Randomness in the Universe The Emergence of Real World The Role of Randomness
• №329
• 17,13 МБ
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## Tuckwell H.C. Elementary Applications of Probability Theory: With an introduction to stochastic differential equations

• pdf
New York: Chapman & Hall, 1995. - 307 p. Content: Front Matter A review of basic probability theory Geometric probability Some applications of the hypergeometric and Poisson distributions Reliability theory Simulation and random numbers Convergence of sequences of random variables: the central limit theorem and the laws of large numbers Simple random walks...
• №330
• 5,47 МБ
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## Tuclwell H.C. Elementary Applications of Probability Theory

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2nd edition. — New York: Taylor and Francis, 2017. — 309 p. This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological sciences and engineering.The first chapter contains a summary of basic probability theory. Chapters two to five deal with random variables and their applications. Topics covered include...
• №331
• 11,86 МБ
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## Tutz G., Schmid M. Modeling Discrete Time-to-Event Data

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Springer International Publishing, Switzerland, 2016. – 252 p. – ISBN-10: 3319281569 This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical...
• №332
• 4,10 МБ
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## Ugarte M.D., Militino A.F., Arnholt A.T. Probability and Statistics with R

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New York: Chapman and Hall/CRC, 2008. — 710 p. Designed for an intermediate undergraduate course, Probability and Statistics with R shows students how to solve various statistical problems using both parametric and nonparametric techniques via the open source software R. It provides numerous real-world examples, carefully explained proofs, end-of-chapter problems, and illuminating...
• №333
• 9,36 МБ
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## Van den Bos Adriaan. Parameter estimation for scientists and engineers

• pdf
Hoboken, New Jersey: A John Wiley & Sons, Inc., Publication, 2007. — 274 p. — ISBN 978-0-470-14781-8. Introduction Parametric Models of Observations Distributions of Observations Precision and Accuracy Precise and Accurate Estimation Numerical Methods for Parameter Estimation Solutions or Partial Solutions to Problems
• №334
• 10,62 МБ
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## Van der Hofstad R. Random Graphs and Complex Networks, Volume 1

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Cambridge University Press, 2017. — 338 p. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN 978-1-107-17287-6. This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten...
• №335
• 17,86 МБ
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## Veazie Peter J. What Makes Variables Random: Probability for the Applied Researcher

• pdf
Chapman and Hall, 2017. — 158 p. — ISBN 978-1498781084. What Makes Variables Random: Probability for the Applied Researcher provides an introduction to the foundations of probability that underlie the statistical analyses used in applied research. By explaining probability in terms of measure theory, it gives the applied researchers a conceptual framework to guide statistical...
• №336
• 3,35 МБ
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## Viana M.A.G., Richards D.St.P. (Eds.) Algebraic Methods in Statistics and Probability

• djvu
Amer Mathematical Society, 2001. — 347 p. — ISBN: 0821826875, 9780821826874 Algebraic methods and arguments in statistics and probability are well known, from Gauss' least squares principle through Fisher's method of variance decomposition. The relevance of group-theoretic arguments, for example, became evident in the 1980s. Such techniques continue to be of interest today,...
• №337
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## Viana M.A.G., Richards D.St.P. (Eds.) Algebraic Methods in Statistics and Probability II

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Amer Mathematical Society, 2010. — 357 p. — ISBN: 0821848917, 9780821848913 This volume is based on lectures presented at the AMS Special Session on Algebraic Methods in Statistics and Probability-held March 27-29, 2009, at the University of Illinois at Urbana-Champaign-and on contributed articles solicited for this volume. A decade after the publication of Contemporary...
• №338
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## Vidal René, Yi Ma, Sastry S.S. Generalized Principal Component Analysis

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Springer, 2016. — xxxii, 566 p. — (Interdisciplinary Applied Mathematics 40). Problems in engineering, computational science, and the physical and biological sciences are using increasingly sophisticated mathematical techniques. Thus, the bridge between the mathematical sciences and other disciplines is heavily traveled. The correspondingly increased dialog between the disciplines...
• №339
• 12,84 МБ
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## Vitali E., Motta M., Galli D.E. Theory and Simulation of Random Phenomena: Mathematical Foundations and Physical Applications

• pdf
Springer, 2018. — 245 p. — (UNITEXT for Physics). — ISBN 3319905147. The purpose of this book is twofold: first, it sets out to equip the reader with a sound understanding of the foundations of probability theory and stochastic processes, offering step-by-step guidance from basic probability theory to advanced topics, such as stochastic differential equations, which typically are...
• №340
• 2,69 МБ
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## Voiculescu Dan-Virgil et al. Free Probability and Operator Algebras

• pdf
European Mathematical Society, 2016. — 144 p. Free probability is a probability theory dealing with variables having the highest degree of noncommutativity, an aspect found in many areas (quantum mechanics, free group algebras, random matrices, etc.). Thirty years after its foundation, it is a well-established and very active field of mathematics. Originating from Voiculescu's...
• №341
• 3,01 МБ
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## Von Mises R. Probability, Statistics and Truth

• djvu
New York: Dover, 1957. — 257 p. This comprehensive study of probability, its relation to statistics, and its truth-finding value considers the approaches of Pascal, Laplace, Poisson, and others. It also discusses Laws of Large Numbers, the theory of errors, and other relevant topics. Numerous examples complement the text.
• №342
• 2,90 МБ
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## Von Mises R., Geiringer H. Mathematical Theory of Probability and Statistics

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New York: Elsevier, 1964. — 698 p. Mathematical Theory of Probability and Statistics focuses on the contributions and influence of Richard von Mises on the processes, methodologies, and approaches involved in the mathematical theory of probability and statistics. The publication first elaborates on fundamentals, general label space, and basic properties of distributions....
• №343
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## Von Rosen D. Bilinear Regression Analysis

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New York: Springer, 2018. — 473 p. This book expands on the classical statistical multivariate analysis theory by focusing on bilinear regression models, a class of models comprising the classical growth curve model and its extensions. In order to analyze the bilinear regression models in an interpretable way, concepts from linear models are extended and applied to tensor spaces....
• №344
• 6,69 МБ
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## Vu V.H. (eds.) Modern aspects of random matrix theory

• pdf
Providence: American Mathematical Society, 2014. — 186 p. The theory of random matrices is an amazingly rich topic in mathematics. Random matrices play a fundamental role in various areas such as statistics, mathematical physics, combinatorics, theoretical computer science, number theory and numerical analysis. This volume is based on lectures delivered at the 2013 AMS Short...
• №345
• 2,02 МБ
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## Walpole R.E., Myers R.H., Myers S.L., Ye K. Essentials of Probabilty & Statistics for Engineers & Scientists

• pdf
Pearson Education, 2012. - 480 pages. This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. The authors assume one...
• №346
• 3,16 МБ
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## Walpole R.E., Myers R.H., Myers S.L., Ye K. Probability & Statistics for Engineers & Scientists

• pdf
Prentice Hall, 2011. - 816 pages. 9th edition This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on...
• №347
• 6,00 МБ
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## Walpole R.E., Myers R.H., Myers S.L., Ye K. Probability & Statistics for Engineers & Scientists

• pdf
9th edition. — Pearson, 2016. — 552 p. — ISBN 978-1292161365. For an introductory, one or two semester, or sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students. An Applications-Focused Introduction to Probability and Statistics Miller & Freund's Probability and Statistics for Engineers is rich...
• №348
• 8,58 МБ
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## Walpole R.E., Myers R.H., Myers S.L., Ye K. Probability and Statistics for Engineers and Scientists

• pdf
8th Edition. — Prentice-Hall, 2007. — 816 p. With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference, motivated by interesting, relevant applications. Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s...
• №349
• 55,97 МБ
• дата добавления неизвестна
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## Watanabe S. Algebraic Geometry and Statistical Learning Theory

• pdf
Cambridge: Cambridge University Press, 2009. — 296 p. Contents Preface Random samples Kullback–Leibler distance Fisher information matrix Singular models Density estimation Conditional probability density Statistical estimation methods Evidence Bayes and Gibbs estimations Maximum likelihood and a posteriori Standard form of log likelihood ratio function Evidence of singular model...
• №350
• 1,71 МБ
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## Watanabe S., Prokhorov V (Eds). Probability Theory and Mathematical Statistics

• djvu
Proceedings of the Fifth Japan-USSR Symposium, held in Kyoto, Japan, July 8-14, 1986. — Springer, 1998. — 595 p. The Fifth Japan-USSR Symposium on Probability Theory was held at Kyoto University, July 8-14, 1986. Attendance from USSR numbered 25 and from Japan 190. This volume contains the papers presented at the symposium. Records of the meetings, lists of the Organizing...
• №351
• 2,63 МБ
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## Wentzel E.S. Probability theory (first steps)

• pdf
Translated from the Russian by N. Deineko. — Moscow: Mir Publishers, 1982. — 90 p. Contents: Probability Theory and Its Problems Probability and Frequency Basic Rules of Probability Theory Random Variables Literature
• №352
• 4,77 МБ
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## Whittle P. Probability via Expectation

• pdf
4th Edition. — Springer, 2000. — 369 p. — (Springer Texts in Statistics). — ISBN 0387989552, 1461267951. This book has exerted a continuing appeal since its original publication in 1970. It develops the theory of probability from axioms on the expectation functional rather than on probability measure, demonstrates that the standard theory unrolls more naturally and economically...
• №353
• 22,94 МБ
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## Williams D. Weighing the Odds: A Course in Probability and Statistics

• djvu
Cambridge University Press, 2001. — 568 p. In this lively look at both subjects, David Williams convinces Mathematics students of the intrinsic interest of Statistics and Probability, and Statistics students that the language of Mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with...
• №354
• 81,05 МБ
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## Woolfson M.M. Everyday Probability And Statistics: Health, Elections, Gambling and War

• pdf
Imperial College Press, 2008. — 234 pages. — ISBN: 1848160321 Probability and statistics impinge on the life of the average person in a variety of ways as is suggested by the title of this book. Very often, information is provided that is factually accurate but intended to present a biased view. This book presents the important results of probability and statistics without...
• №355
• 2,60 МБ
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## Woolfson M.M. Everyday Probability and Statistics: Health, Elections, Gambling and War

• pdf
2nd Edition. — Imperial College Press, 2012. — 289 p. — ISBN 978-1-84816-761-2. Probability and statistics impinge on the life of the average person in a variety of ways - as is suggested by the title of this book. Very often information is provided that is factually accurate but intended to give a biased view. This book presents the important results of probability and statistics...
• №356
• 1,31 МБ
• добавлен
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## Yakir B. Extremes in Random Fields: A Theory and its Applications

• pdf
Hoboken: Wiley, 2013. — 254 p. Presents a useful new technique for analyzing the extreme-value behaviour of random fields Modern science typically involves the analysis of increasingly complex data. The extreme values that emerge in the statistical analysis of complex data are often of particular interest. This book focuses on the analytical approximations of the statistical...
• №357
• 2,74 МБ
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## Yung-Liang T. Probability Inequalities in Multivariate Distributions

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New York: Academic Press, 1980. — 255 p. The area of probability inequalities in multivariate distributions is certainly not new. However, it has experienced a remarkable growth and development during the past two decades or so. Today the subject plays an important role in many areas of statistics and probability, and it presents a very challenging and attractive field of...
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## Абдурахманова Л.С., Магомедов М.Ш., Абдеева А.Т. Математика и MS Excel

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Учебное пособие. — Махачкала: ДГУНХ, 2018. — 24 с. Пособие предназначено для использования в компьютерных классах на практических занятиях по дисциплинам «Теория вероятностей и математическая статистика» и «Информатика». Оно содержит последовательность заданий, выполняемых студентами с целью формирования у них умений и навыков применения компьютерных технологий и математических...
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## Ақанбай Н. Ықтималдықтар теориясы есептері мен жаттығуларының жинағы І

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Алматы.: Қазақ университеті, 2013. – 424 бет. Оқу құралына ұлттық университеттердің оқу бағдарламаларына сәйкес ықтималдықтар теориясының есептері мен жаттығулары енгізілген. Тапсырмалар есептер мен жаттығулардың күрделілік деңгейлеріне қарай орналастырылған. Әр тараудың алдында осы тарау материалдарына қатысты қысқаша теориялық мағлұматтар келтірілген және типтік есептер...
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## Ақанбай Н. Ықтималдықтар теориясы және математикалық статистика курсы I

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Алматы: Қазақ университеті, 2011. — 291 бет. — ISBN 9965-29-639-1. Оқулық автордың бірқатар жылдар бойы Әл-Фараби атындағы Қазақ ұлттық университетінің механика-математика факультетінің математика бөлімі студенттері мен магистрлеріне оқыған дәрістері негізінде жазылған. Кітапта ықтималдықтар теориясының математикалық негіздері Колмогоров аксиома- тикасына сүйене отырып баяндалған....
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