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Toshkent: Universitet, 2010. — 163 b.
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Paris: Atlantis Press, 2017. — 125 p. Provides in an organized manner characterizations of univariate probability distributions with many new results published in this area since the 1978 work of Golambos & Kotz "Characterizations of Probability Distributions" (Springer), together with applications of the theory in model fitting and predictions. Introduction. Some Continuous...
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Nova Science Publishing, 2011. - 144 pages. The exponential distribution is often used to model the failure time of manufactured items in production. If X denotes the time to failure of a light bulb of a particular make, with exponential distribution, then P(X x) represent the survival of the light bulb. The larger the average rate of failure, the bigger will be the failure...
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Springer, 2014. — 163 p. — (Atlantis Studies in Probability and Statistics, Vol. 4). — ISBN: 9462390606, 9789462390614 The most important properties of normal and Student t-distributions are presented. A number of applications of these properties are demonstrated. New related results dealing with the distributions of the sum, product and ratio of the independent normal and...
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Springer-Verlag New York, 1989. — 272 p. — (Applied Mathematical Sciences 77). — ISBN: 978-1-4757-6283-9 (eBook), 978-1-4419-3088-0 (Softcover), 978-0-387-96899-5 (Hardcover). If you place a large number of points randomly in the unit square, what is the distribution of the radius of the largest circle containing no points? Of the smallest circle containing 4 points? Why do...
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Springer, 2015. — 156 p. — ISBN: 9462390789 This book contains entirely new results, not to be found elsewhere. Furthermore, additional results scattered elsewhere in the literature are clearly presented. Several well-known distributions such as Weibull distributions, exponentiated Burr type XII distributions and exponentiated exponential distributions and their properties are...
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N.-Y.: Atlantis Press, 2015. - 149p. This book contains entirely new results, not to be found elsewhere. Furthermore, additional results scattered elsewhere in the literature are clearly presented. Several well-known distributions such as Weibull distributions, exponentiated Burr type XII distributions and exponentiated exponential distributions and their properties are...
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Springer, 2013. — 264 p. — ISBN: 3642388051, 9783642388057 Random Matrices are one of the major research areas in modern probability theory, due to their prominence in many different fields such as nuclear physics, statistics, telecommunication, free probability, non-commutative geometry, and dynamical systems. A great deal of recent work has focused on the study of spectra of...
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World Scientific, 2009. - 429 pages. In this monograph, the author presents univariate and multivariate probabilistic inequalities with coverage on basic probabilistic entities like expectation, variance, moment generating function and covariance. These are built on the recent classical form of real analysis inequalities which are also discussed in full details. This treatise...
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Early version (manuscript ?). — July 2017. — 409 p. This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of...
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Cambridge: Cambridge University Press, 2009. - 510p. Contents: Preface Introduction Real and complex Wigner matrices Hermite polynomials, spacings and limit distributions for the Gaussian ensembles Some generalities Free probability Appendices References General conventions and notation Index
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Cambridge University Press, 2009. — 366 p. Social scientists become experts in their own disciplines but aren’t always familiar with what is going on in neighboring fields. To foster a deeper understanding of the interconnection of the social sciences, economists should know where historical data come from, sociologists should know how to think like economists, political...
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Second Edition. — N.-Y.: CRC Press, 2015. — 435 p. Since the publication of the first edition over 30 years ago, the literature related to Pareto distributions has flourished to encompass computer-based inference methods. Pareto Distributions, Second Edition provides broad, up-to-date coverage of the Pareto model and its extensions. This edition expands several chapters to...
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John Wiley & Sons, 1998. — 312 p. — ISBN: 0471081086, 978-0471081081. The first and only comprehensive guide to modern record theory and its applications. Although it is often thought of as a special topic in order statistics, records form a unique area, independent of the study of sample extremes. Interest in records has increased steadily over the years since Chandler...
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New York: Wiley-IEEE Press, 1996. - 480p. A self-study guide for practicing engineers, scientists, and students, this book offers practical, worked-out examples on continuous and discrete probability for problem-solving courses. It is filled with handy diagrams, examples, and solutions that greatly aid in the comprehension of a variety of probability problems.
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Mineola, New York, Dover Publications, June 2008. — 352 p. — ISBN 0486466280 / 9780486466286. This introduction to more advanced courses in probability and real analysis emphasizes the probabilistic way of thinking, rather than measure-theoretic concepts. Geared toward advanced undergraduates and graduate students, its sole prerequisite is calculus. Taking statistics as its...
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Singapore: World Scientific Publishing Company, 2010. - 621p. The book gives a comprehensive treatment of the classical and modern ruin probability theory. Some of the topics are Lundberg's inequality, the Cramer-Lundberg approximation, exact solutions, other approximations (e.g., for heavy-tailed claim size distributions), finite horizon ruin probabilities, extensions of the...
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A study of randomized algorithms from several areas: graph algorithms, algorithms in algebra, approximate counting, probabilistically checkable proofs, and matrix algorithms. Topics include an introduction to tools from probability theory, including some inequalities such as Chernoff bounds. These are notes for the Fall 2016 semester version of the Yale course CPSC 469/569...
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Springer, 2006. — 625 p. — ISBN: 038732903X, 978-0387329031. This is a graduate level textbook on measure theory and probability theory. It presents the main concepts and results in measure theory and probability theory in a simple and easy-to-understand way. It further provides heuristic explanations behind the theory to help students see the big picture. The book can be used...
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N.-Y.: Wiley, 2014. — 448 p. — ISBN: 978-0-470-97381-3. In recent years, the theory has become widely accepted and has been further developed, but a detailed introduction is needed in order to make the material available and accessible to a wide audience. This will be the first book providing such an introduction, covering core theory and recent developments which can be...
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Manuscript, 1979. — 467 p. This is the 1979 manuscript of the work Professor Rota had been working on for some time. The purpose of this book is to learn to think probabilistically. We begin by giving a bird's-eye view of probability by examining some of the great unsolved problems of probability theory. It's only by seeing what the unsolved problems are that one gets a feeling...
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Springer, 2005. — 513 p. Applied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, including: anthropology, biology, communication theory, economics, epidemiology, finance, geography, linguistics, medicine, meteorology, operations research, psychology, quality control, sociology, and statistics. Recent Advances...
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New York: Taylor&Francis, 1991. — 580 p. Statistical logistic distributions, theoretical properties, applications in statistics, multivariate logistic distributions, estimation, similation, goodness-of-fit, robustness, growth models, computation and many other.
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Springer, 2009. – 724 p. – 2nd ed. – ISBN: 0387096132, 9780387096148 Random variables are rarely independent in practice and so many multivariate distributions have been proposed in the literature to give a dependence structure for two or more variables. In this book, we restrict ourselves to the bivariate distributions for two reasons: (i) correlation structure and other...
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Providence: American Mathematical Society, 2009. — 133 p. The authors establish some asymptotic expansions for infinite weighted convolution of distributions having regularly varying tails. Applications to linear time series models, tail index estimation, compound sums, queueing theory, branching processes, infinitely divisible distributions and implicit transient renewal...
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Cambridge University Press, 2011. — 432 pages. — ISBN: 0521196760. 'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of...
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Springer, 2012. — 165 p. In June 2010, a conference, Probability Approximations and Beyond, was held at the National University of Singapore (NUS), in honor of pioneering mathematician Louis Chen. Louis is perhaps best known for his elegant Poisson approximation method, developed from Stein’s original approach to normal approximation. Another of his important contributions has...
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Cambridge: Cambridge University Press, 2017. — 240 p. This introduction to random walks on infinite graphs gives particular emphasis to graphs with polynomial volume growth. It offers an overview of analytic methods, starting with the connection between random walks and electrical resistance, and then proceeding to study the use of isoperimetric and Poincaré inequalities. The book...
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New York: Chapman&Hall, 1999. - 422p. Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible...
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Richard F. Bass, 2001. — 47 pages. Basic notions. Independence. Convergence. Weak law of large numbers. Techniques related to almost sure convergence. Strong law of large numbers. Uniform integrability. Complements to the SLLN. Conditional expectation. Stopping times. Optional stopping. Doob’s inequalities. Martingale convergence theorems. Applications of...
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Richard F. Bass, 2001. - 47 pages. Basic notions. Independence. Convergence. Weak law of large numbers Techniques related to almost sure convergence. Strong law of large numbers. Uniform integrability. Complements to the SLLN. Conditional expectation. Stopping times. Optional stopping. Doob’s inequalities. Martingale convergence theorems. Applications of...
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China Machine Press, 2000. — 460 pages. Bean's "Probability: The Science of Uncertainty with Applications to Investments, Insurance, and Engineering" is an 'applied' book that will be of interest to instructors teaching probability in mathematics departments of operations research, statistics, actuarial science, management science, and decision science. Comprehensive, easy to...
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Horwood Publishing, 2005. — 344 pages. — ISBN-10: 1904275192 This undergraduate text distils the wisdom of an experienced teacher and yields, to the mutual advantage of students and their instructors, a sound and stimulating introduction to probability theory. The accent is on its essential role in statistical theory and practice, built on the use of illustrative examples and...
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CRC Press, 2005. — 760 p. ISBN10: 0824723155 Certainty exists only in idealized models. Viewed as the quantification of uncertainties, probabilitry and random processes play a significant role in modern engineering, particularly in areas such as structural dynamics. Unlike this book, however, few texts develop applied probability in the practical manner appropriate for engineers....
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Berlin: Springer, 2015. — 884 p. Long-memory processes are known to play an important part in many areas of science and technology, including physics, geophysics, hydrology, telecommunications, economics, finance, climatology, and network engineering. In the last 20 years enormous progress has been made in understanding the probabilistic foundations and statistical principles...
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N.-Y.: Springer, 2015. - 120p. The purpose of this book is to provide an overview of historical and recent results on concentration inequalities for sums of independent random variables and for martingales. The first chapter is devoted to classical asymptotic results in probability such as the strong law of large numbers and the central limit theorem. Our goal is to show that...
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2nd edition. — Athena Scientific, 2008. — 528 p. — ISBN: 188652923X An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the addition of new material. The...
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Publication Date: July 15, 2008 ISBN-10: 188652923X ISBN-13: 978-1886529236 Edition: 2nd An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the...
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MIT, 2000. - 284 pages. An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for "Probabilistic Systems Analysis, " an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of...
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2nd ed. — Athena Scientific, 2008. — 528 p. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a...
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Orlando: Academic Press, 1986. — 223 p. The algebraic properties and utility of deterministic algebraic polynomials are well known. Similarly, the properties of orthogonal and trigonometric polynomials are also well understood, and many books treating these deterministic theories are available. But this book is the first of its kind in presenting a fairly rigorous and...
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Springer, 2007. - 218 pages. Introductory Probability is a pleasure to read and provides a fine answer to the question: How do you construct Brownian motion from scratch, given that you are a competent analyst? There are at least two ways to develop probability theory. The more familiar path is to treat it as its own discipline, and work from intuitive examples such as coin...
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2nd Edition. — Springer International Publishing AG, 2016. — 270 p. — (Universitext) — ISBN: 9783319479729 This second edition continues to serve primarily as a text for a lively two-quarter or one-semester course in probability theory for students from diverse disciplines, including mathematics and statistics. Exercises have been added and reorganized (i) for reinforcement in the...
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John Wiley and Sons, 1968. Weak convergence in metric spaces. The Space of Continuous Functions. The Space of Functions that are right-continuous and have a limit at left. Dependent variables. Appendix I. Metric Spaces. Appendix II. Miscellany. Appendix III. Theoretical Complements.
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4 ed. — Hoboken: Wiley, 2012. — 656 p. — ISBN 1118122372. Probability and Measure, Anniversary Edition by Patrick Billingsley celebrates the achievements and advancements that have made this book a classic in its field for the past 35 years. Now re-issued in a new style and format, but with the reliable content that the third edition was revered for, this Anniversary Edition...
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3rd Edition. — Wiley-Interscience, 1995. — 608 p. Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an...
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New York: Springer, 2015. - 239p. Focusing on the mathematics that lies at the intersection of probability theory, statistical physics, combinatorics and computer science, this volume collects together lecture notes on recent developments in the area. The common ground of these subjects is perhaps best described by the three terms in the title: Random Walks, Random Fields and...
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Springer Science+Business Media LLC, 2017. — 749 p. — (Probability Theory and Stochastic Modelling 81) — ISBN: 9781493970476. This book contains an in-depth treatment of matrix-exponential (ME) distributions and their sub-class of phase-type (PH) distributions. Loosely speaking, an ME distribution is obtained through replacing the intensity parameter in an exponential distribution...
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CRC Press, 2014. — 596 p. Statistics 110 (Probability) has been taught at Harvard University by Joe Blitzstein (Professor of the Practice in Statistics, Harvard University) each year since 2006. The on-campus Stat 110 course has grown from 80 students to over 300 students per year in that time. Lecture videos, review materials, and over 250 practice problems with detailed...
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Cambridge: Cambridge University Press, 2009. — 449 p. An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts.
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Cambridge: Cambridge University Press, 2009. — 449 p. This book focuses on the behavior of large random matrices. Standard results are covered, and the presentation emphasizes elementary operator theory and differential equations, so as to be accessible to graduate students and other non-experts. The introductory chapters review material on Lie groups and probability measures in a...
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McGraw-Hill Professional, 2005. — 258 p. Now anyone who ever flipped a coin, played cards, or placed a bet can grasp the principles that govern probability - without formal training, unlimited time, or an Einstein IQ. In Probability Demystified, experienced math instructor Allan Bluman provides an illuminating and entertaining way to master chance, odds, and predictability. With...
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Springer, 2013. — 733 p. — (Universitext). — ISBN: 144715200X Probability theory is an actively developing branch of mathematics. It has applications in many areas of science and technology and forms the basis of mathematical statistics. This self-contained, comprehensive book tackles the principal problems and advanced questions of probability theory and random processes in 22...
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Oxford: Oxford University Press, 2013. - 480p. Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statistics, discrete mathematics, and high-dimensional geometry. Roughly speaking, if a...
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Addison-Wesley, 1992. — 421 p. — (Classics in Applied Mathematics, 7). — ISBN 0-89871-296-3. Well known for the clear, inductive nature of its exposition, this reprint volume is an excellent introduction to mathematical probability theory. It may be used as a graduate-level text in one- or two-semester courses in probability for students who are familiar with basic measure theory,...
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Addison-Wesley, 1992. — xvi + 421 p. — (Classics in Applied Mathematics, 7). — ISBN 0-89871-296-3. Well known for the clear, inductive nature of its exposition, this reprint volume is an excellent introduction to mathematical probability theory. It may be used as a graduate-level text in one- or two-semester courses in probability for students who are familiar with basic measure...
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New York: Springer, 1995. — 141 p. This book is a concise presentation of the normal distribution on the real line and its counterparts on more abstract spaces, which we shall call the Gaussian distributions. The material is selected towards presenting characteristic properties, or characterizations, of the normal distribution. There are many such properties and there are numerous...
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Springer, 1988. — 273 p. — ISBN: 0387967354, 9780387967356 The author, the founder of the Greek Statistical Institute, has based this book on the two volumes of his Greek edition which has been used by over ten thousand students during the past fifteen years. It can serve as a companion text for an introductory or intermediate level probability course. Those will benefit most...
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Springer, 1988. — 273 p. — ISBN: 0387967354, 9780387967356 The author, the founder of the Greek Statistical Institute, has based this book on the two volumes of his Greek edition which has been used by over ten thousand students during the past fifteen years. It can serve as a companion text for an introductory or intermediate level probability course. Those will benefit most...
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Book, Peter J. Cameron, December 2000, 86 p. Contents. Basic ideas. Conditional probability. Random variables. More on joint distribution. Mathematical notation. Probability and random variables.
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Stanford University Press, 2013. — 504 p. — ISBN: 0804768641, 9780804768641 There exist literary histories of probability and scientific histories of probability, but it has generally been thought that the two did not meet. Campe begs to differ. Mathematical probability, he argues, took over the role of the old probability of poets, orators, and logicians, albeit in scientific...
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New York: Springer, 2001. - 262 p. This book of problems has been designed to accompany an undergraduate course in probability. It will also be useful for students with interest in probability who wish to study on their own. The only prerequisite is basic algebra and calculus. This includes some elementary experience in set theory, sequences and series, functions of one variable,...
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2nd Edition. — Springer International Publishing AG, 2017. — 664 p. — (Springer Texts in Statistics) — ISBN: 3319524003. A number of currently available probability texts are heavily oriented toward a rigorous mathematical development of probability, with much emphasis on theorems, proofs, and derivations. Even when applied material is included, the scenarios are often contrived...
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N.-Y.: Springer, 2014. - 776p. This book provides a contemporary and lively postcalculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective...
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Milan: Bocconi University, 2017. — 154 p. Contents: General questions Classical probability Frequency-based (or empirical) approach The subjective approach: its relevance to Economics and Managemen Sample space and events The axioms Conditional probability, correlation between events, sto- chastic independence and Bayes Theorem What a random number is The probability distribution...
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Wiley, 2012. — 594 p. — ISBN: 1118294408, 9781118294406 An easily accessible, real-world approach to probability and stochastic processes Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their...
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New York: Springer, 2016. - 283 p. This book presents a wide range of well-known and less common methods used for estimating the accuracy of probabilistic approximations, including the Esseen type inversion formulas, the Stein method as well as the methods of convolutions and triangle function. Emphasising the correct usage of the methods presented, each step required for the...
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Hoboken: Wiley-Interscience, 2005. - 433p. A unique approach illustrating discrete distribution theory through combinatorial methods This book provides a unique approach by presenting combinatorial methods in tandem with discrete distribution theory. This method, particular to discreteness, allows readers to gain a deeper understanding of theory by using applications to solve...
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Hoboken: Wiley, 2016. - 264p. A self-contained study of the various applications and developments of discrete distribution theory Written by a well-known researcher in the field, Discrete q-Distributions features an organized presentation of discrete q-distributions based on the stochastic model of a sequence of independent Bernoulli trials. In an effort to keep the book...
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2nd edition. — Cambridge University Press, 2012. — 304 р. — ISBN: 1107606551. Derived from extensive teaching experience in Paris, this second edition now includes over 100 exercises in probability. New exercises have been added to reflect important areas of current research in probability theory, including infinite divisibility of stochastic processes, past-future martingales...
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ConJelCo LLC, 2006. –382 pp. На Английском. Перевода в интернете не найдено. Объясняет покерные стратегии с помощью математических и компьютерных методов (моделирование).
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Academic Press, 2001, Third Edition, 419 p. Contents Distribution function Measure theory Random variable. Expectation. Independence Convergence concepts Law of large numbers. Random series Characteristic function Central limit theorem and its ramifications Random walk Conditioning. Markov property. Martingale Supplement: Measure and Integral General Bibliography
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New York - Chichester - Brisbane - Toronto - Singapore: John Wiley & Sons, Inc., 1991. — 192 р. This is a theoretical analysis of a probabilistic approach to solving packing or partitioning algorithms. These generally require the partitioning of a set of nonnegative numbers so that the sums of the elements in the blocks of the partition satisfy some given property. Departs from...
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Boston: Birkhäuser, 2006. - 362p. Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations including, but not limited to: branching processes, queuing processes, stochastic processes, environmental toxicology, diffusion of information, ecology, strikes in industries, sales of new products, and production...
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Oxford: Oxford University Press, 2017. - 325 p. Generating random networks efficiently and accurately is an important challenge for practical applications, and an interesting question for theoretical study. This book presents and discusses common methods of generating random graphs. It begins with approaches such as Exponential Random Graph Models, where the targeted probability...
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Methuen, 1962. — 142 p. Renewal theory began as the study of some particular probability problems connected with the failure and replacement of components, such as electric light bulbs. Later it became clear that essentially the same problems arise also in connexion with many other applications of probability theory and moreover that the fundamental mathematical theorems of...
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Cambridge University Press, 2004. — 129 p. The Mathematical Theory of Probability has lately become of Growing importance owing to the great variety of its applications, and also to its purely mathematical interest. The subject of this tract is the development of the purely mathematical side of the theory, without any reference to the applications. The axiomatic foundations of...
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Boca Raton: Routledge, 2018. — 408 p. Presenting the first comprehensive review of the subject's theory and applications in more than 15 years, this outstanding reference encompasses the most-up-to-date advances in lognormal distributions in thorough, detailed contributions by specialists in statistics, business and economics, industry, biology, ecology, geology, and meteorology....
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Springer, 2010. - 494 Pages. This is a text encompassing all of the standard topics in introductory probability theory, together with a significant amount of optional material of emerging importance. The emphasis is on a lucid and accessible writing style, mixed with a large number of interesting examples of a diverse nature. The text will prepare students extremely well for...
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Springer – 2011, 657 pages ISBN: 1441996338, 9781441996336 This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out...
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Springer, 2010. — 465 p. — (Springer Texts in Statistics). Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate...
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N.-Y.: Springer, 2004. - 127p. Probability matching priors, ensuring frequentist validity of posterior credible sets up to the desired order of asymptotics, are of substantial current interest. They can form the basis of an objective Bayesian analysis. In addition, they provide a route for obtaining accurate frequentist confidence sets, which are meaningful also to a Bayesian....
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New York: Springer, 2015. - 406p. This book contains articles arising from a conference in honour of mathematician-statistician Miklόs Csörgő on the occasion of his 80th birthday, held in Ottawa in July 2012. It comprises research papers and overview articles, which provide a substantial glimpse of the history and state-of-the-art of the field of asymptotic methods in...
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Wiley, 2017. — 586 p. First issued in translation as a two-volume work in 1975, this classic book provides the first complete development of the theory of probability from a subjectivist viewpoint. It proceeds from a detailed discussion of the philosophical mathematical aspects to a detailed mathematical treatment of probability and statistics. De Finetti’s theory of...
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John Wiley & Sons, 1990. — 375 p. Foreword: It is an honour to be asked to write a foreword to this book, for I believe that it is a book destined ultimately to be recognized as one of the great books of the world. The subject of probability is over two hundred years old and for the whole period of its existence there has been dispute about its meaning. At one time these...
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New York: Springer: 2006. - 421p. Extreme Value Theory offers a careful, coherent exposition of the subject starting from the probabilistic and mathematical foundations and proceeding to the statistical theory. The book covers both the classical one-dimensional case as well as finite- and infinite-dimensional settings. All the main topics at the heart of the subject are...
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  • 12,85 МБ
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Springer, 2nd ed. 1998, 2nd corrected printing 2009. — 396 p. — ISBN: 978-3-642-03310-0. Large deviation estimates have proved to be the crucial tool required to handle many questions in statistics, engineering, statistial mechanics, and applied probability. Amir Dembo and Ofer Zeitouni, two of the leading researchers in the field, provide an introduction to the theory of large...
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Basel: Birkhäuser, 2000. — 477 p. In this book, a beautiful interplay between probability theory (Markov processes, martingale theory) on the one hand and operator and spectral theory on the other yields a uniform treatment of several kinds of Hamiltonians such as the Laplace operator, relativistic Hamiltonian, Laplace-Beltrami operator, and generators of Ornstein-Uhlenbeck...
  • №88
  • 9,17 МБ
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New York: Academic Press, 1988. — 296 p. In this book, the basic notions and tools of unimodality as they relate to probability and statistics are presented. In addition, many applications are covered; these include the use of unimodality to obtain monotonicity properties of power functions of multivariate tests, minimum volume confidence regions, and recurrence of symmetric...
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Springer, 2013. — 686 p. — ISBN: 3642410944. This book represents the refereed proceedings of the Tenth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South Wales (Australia) in February 2012. These biennial conferences are major events for Monte Carlo and the premiere event for quasi-Monte...
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Book, McGraw-Hill, 1967, 283 p. the best intro probability text i know, by far. another brilliant oldschool book (not filled with silly pictures and connections to cryptography or cosmology or anything else that would makes the book twice as long to read). if undergraduate math doesn't scare you, you can learn solid probability fundamentals from this thing in two or three weeks.
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Cambridge University Press, 2004. — 555 p. — ISBN 0-511-04208-6. Foundations. General Topology. Measures. Integration. Introduction to Functional Analysis. Convex Sets and Duality of Normed Spaces. Measure, Topology, and Differentiation. Introduction to Probability Theory. Convergence of Laws and Central Limit Theorems. Conditional Expectations and Martingales....
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  • 5,71 МБ
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Cambridge University Press, 2009. - 254 pages. This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus....
  • №93
  • 2,08 МБ
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Brooks/Cole, 2005. — 497 Pages. This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the...
  • №94
  • 3,05 МБ
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Cambridge University Press, 2010. - 448 pages. Fourth Edition This book is an introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that...
  • №95
  • 2,24 МБ
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Duxbury Press, 2004. — 512 Pages. This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the...
  • №96
  • 3,98 МБ
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5th ed. — Durham (N.C.): Duke University, 2018. — 490 p. The title of the book indicates that as we develop the theory, we will focus our attention on examples. Hoping that the book would be a useful reference for people who apply probability in their work, we have tried to emphasize the results that are important for applications, and illustrated their use with roughly 200...
  • №97
  • 2,13 МБ
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N.-Y.: Wiley, 2008. - 328p. An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as...
  • №98
  • 1,69 МБ
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Basel: Springer, 1998. — 335 p. — ISBN: 978-3-0348-9790-7. What is high dimensional probability? Under this broad name we collect topics with a common philosophy, where the idea of high dimension plays a key role, either in the problem or in the methods by which it is approached. Let us give a specific example that can be immediately understood, that of Gaussian processes....
  • №99
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Springer, 2013. — 79 p. — ISBN: 978-9400751392, e-ISBN: 978-9400751408. Paradoxes provide a vehicle for exposing misinterpretations and misapplications of accepted principles. This book discusses seven paradoxes surrounding probability theory. Some remain the focus of controversy; others have allegedly been solved, however the accepted solutions are demonstrably incorrect. Each...
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Springer, 2010. - 368 pages. The purpose of philosophy, broadly conceived, can be described as that of attempting to resolve heretofore unsolved conceptual and theoretical problems, especially those that lie at the foundations of knowledge and values. Given the central role of science in acquiring reliable knowledge, the study of science has become of special importance within...
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  • 4,45 МБ
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Songapore: World Scientific, 2017. — 522 p. The first edition of this book appeared over three decades ago (Wiley-Interscience, 1983), whereas the second one saw light on the verge of new millennium (Dover, 1999). This is third, corrected and expanded edition that appears in conjunction with its companion volume Probabilistic Methods in the Theory of Structures: Complete...
  • №102
  • 66,30 МБ
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Birkhauser, 2010. - 509 pages. Since the publication of the first edition of this seminar book in 1994, the theory and applications of extremes and rare events have enjoyed an enormous and still increasing interest. The intention of the book is to give a mathematically oriented development of the theory of rare events underlying various applications. This characteristic of the...
  • №103
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Издательство Birkhäuser, 2011, -526 pp. The main focus of extreme value theory has been undergoing a dramatic change. Instead of concentrating on maxima of observations, large observations are now in the focus, defined as exceedances over high thresholds. Since the pioneering papers by Balkema and de Haan (1974) and Pickands (1975) it is well known that exceedances over high...
  • №104
  • 3,20 МБ
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New York: Chapman and Hall/CRC, 1998. - 178p. recent research-have many applications in physics, economics, and statistics. The main results are presented in such a fashion that they can be understood and used by readers whose knowledge of probability incorporates little more than basic probability theory and stochastic processes.
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  • 1,40 МБ
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O‘quv qollanm a. — Тoshkent: O‘zbekiston faylasuflari milliy jamiyati, 2006. — 112 b. O 'qu v q o ‘llan m ada eh tim ollar nazariyasining tasodifiy hodisa, ehtim ol, tasodifiy miqdor, taqsimot funksiyalarni, tasodifiy m iqdorlar ketm a-ketligi kabi m avzular va ularga d oir m asalalarni yechish usullari bayon qilingan. Olquv q o ‘llan m a universitetlam ing 5460100-m atem atika...
  • №106
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Wiley, 1968. — 528 pages. Major changes in this edition include the substitution of probabilistic arguments for combinatorial artifices, and the addition of new sections on branching processes, Markov chains, and the De Moivre-Laplace theorem. Contents Introduction: The Nature of Probability Theory. The Sample Space. Elements of Combinatorial Analysis. Fluctuations in Coin...
  • №107
  • 4,92 МБ
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Wiley, 1971. — 704 pages. At the time the first volume of this book was written the interest in probability was not yet widespread. Teaching was on a very limited scale and topics such as Markov chains, which are now extensively used in several disciplines, were highly specialized chapters of pure mathematics. The first volume may therefore be likened to an all-purpose travel...
  • №108
  • 13,14 МБ
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Berlin: Springer, 2010. — 233 p. The Poisson-Dirichlet distribution is an infinite dimensional probability distribution. It was introduced by Kingman over thirty years ago, and has found applications in a broad range of areas including Bayesian statistics, combinatorics, differential geometry, economics, number theory, physics, and population genetics. This monograph provides a...
  • №109
  • 1,11 МБ
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A Preparation for Exam P-1 — Arkansas Tech University, 2013. — 595 p. The present manuscript is designed mainly to help students prepare for the Probability Exam (Exam P/1), the rst actuarial examination administered by the Society of Actuaries. This examination tests a student's knowledge of the fundamental probability tools for quantitatively assessing risk. A thor- ough...
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Wiley, 2013. — 472 p. Written in a clear, accessible, and comprehensive manner, the Handbook of Probability presents the fundamentals of probability with an emphasis on the balance of theory, application, and methodology. Utilizing basic examples throughout, the handbook expertly transitions between concepts and practice to allow readers an inclusive introduction to the field...
  • №111
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Second Edition. — N.-Y.: Springer, 2013. — 157 p. — ISBN: 9781461471004, e-ISBN: 9781461471011. Heavy-tailed probability distributions are an important component in the modeling of many stochastic systems. They are frequently used to accurately model inputs and outputs of computer and data networks and service facilities such as call centers. They are an essential for...
  • №112
  • 1,42 МБ
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Cambridge University Press, 2008. — 216 p. What is this book about, and who is it written for? To start with the first question, this book introduces a subject placed at the interface between mathematics, physics, and information theory of systems. In doing so, it is not intended to be a comprehensive monograph and collect all the mathematical results available in the literature,...
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  • 2,41 МБ
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Cambridge University Press, 2008. — 216 p. What is this book about, and who is it written for? To start with the first question, this book introduces a subject placed at the interface between mathematics, physics, and information theory of systems. In doing so, it is not intended to be a comprehensive monograph and collect all the mathematical results available in the literature,...
  • №114
  • 1,96 МБ
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Cambridge: Cambridge University Press, 2016. — 304 p. This monograph develops a pedagogical approach to the role of noncommutativity in probability theory, starting in the first chapter at a level suitable for graduate and advanced undergraduate students. The contents also aim at being relevant to the physics student and to the algebraist interested in connections with probability...
  • №115
  • 1,46 МБ
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New York: Springer, 2015. — 205 p. This volume presents five different methods recently developed to tackle the large scale behavior of highly correlated random systems, such as spin glasses, random polymers, local times and loop soups and random matrices. These methods, presented in a series of lectures delivered within the Jean-Morlet initiative (Spring 2013), play a fundamental...
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2004. — 71 p. Including the notion of a measurable space and a probability space. This lecture will start from this notion, to continue with random variables and basic parts of integration theory, and to finish with some first limit theorems. Contents Probability spaces Definition of σ-algebras Probability measures Examples of distributions Binomial distribution...
  • №117
  • 338,94 КБ
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2nd ed. , corr. — Springer, 2005. — 381 p. — (Statistics and Computing). Simulating Random Numbers from a Uniform Distribution. Quality of Random Number Generators. Quasirandom Numbers. Transformations of Uniform Deviates: General Methods. Simulating Random Numbers from Specific Distributions. Generation of Random Samples, Permutations, and Stochastic Processes. Monte...
  • №118
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N.-Y.: Chapman&Hall/CRC, 2004. — 420 p. — ISBN: 1584884312. This book reviews the state-of-the-art advances in skew-elliptical distributions and provides many new developments in a single volume, collecting theoretical results and applications previously scattered throughout the literature. The main goal of this research area is to develop flexible parametric classes of...
  • №119
  • 11,15 МБ
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2nd Edition. — De Gruyter, 2011. — 525 p. "This book is much more than an introduction to the subject of its title. It covers in depth a broad range of topics in the mathematical theory of phase transition in statistical mechanics and as an up to date reference in its chosen topics it is a work of outstanding scholarship. It is in fact one of the author's stated aims that this...
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De Gruyter, 2008. — 379 p. This book is a translation of the third edition of the well accepted German textbook 'Stochastik', which presents the fundamental ideas and results of both probability theory and statistics, and comprises the material of a one-year course. The stochastic concepts, models and methods are motivated by examples and problems and then developed and analysed...
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  • 2,80 МБ
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Prentice Hill, 1999. - 511 pages. This book is a valuable reference to Basic Probability and related problems, featuring unique discussions published in recent journals to support individual investigation. Chapter topics include combinatorial methods, conditional probability and independence, random variables, distributions, and simulation. For professionals in the fields of...
  • №122
  • 44,60 МБ
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London: Routledge, 2010. — 263 p. This reissue of D. A. Gillies highly influential work, first published in 1973, is a philosophical theory of probability which seeks to develop von Mises’ views on the subject. In agreement with von Mises, the author regards probability theory as a mathematical science like mechanics or electrodynamics, and probability as an objective, measurable...
  • №123
  • 3,85 МБ
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Beachwood: Institute of Mathematical Statistics, 2006. — 284 p. About forty years ago it was realized by several researchers that the essential features of certain objects of Probability theory, notably Gaussian processes and limit theorems, may be better understood if they are considered in settings that do not impose structures extraneous to the problems at hand. For instance,...
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  • 1,64 МБ
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Boston: Birkhäuser, 2000. — 490 p. Content: Moment Bounds for Self-Normalized Martingales. Exponential and Moment Inequalities for U-Statistics. A Multiplicative Inequality for Concentration Functions of n-Fold Convolutions. On Exact Maximal Khinchine Inequalities. Strong Exponential Integrability of Martingales with Increments Bounded by a Sequence of Numbers. On Uniform Laws of...
  • №125
  • 3,33 МБ
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Springer, 2018. - 570p. - ISBN: 3319974114 This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the...
  • №126
  • 3,52 МБ
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Springer, 2018. — 570 p. — ISBN 9783319974118. This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the...
  • №127
  • 15,10 МБ
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This classic book is intended to be the first introduction to probability and statistics written with an emphasis on the analytic approach to the problems discussed. Topics include the axiomatic setup of probability theory, polynomial distribution, finite Markov chains, distribution functions and convolution, the laws of large numbers (weak and strong), characteristic functions,...
  • №128
  • 15,10 МБ
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Explores concept of probability, surveys rules for addition and multiplication of probabilities, conditional probability, total probability, Bayes formula, Bernoulli’s scheme, random variables, the Chebychev inequality, distribution curves, and the means by which an event is declared to be in practice impossible.
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  • 4,42 МБ
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Dover, 2015. — 96 p. — ISBN: 0486601552 This compact volume equips the reader with all the facts and principles essential to a fundamental understanding of the theory of probability. It is an introduction, no more: throughout the book the authors discuss the theory of probability for situations having only a finite number of possibilities, and the mathematics employed is held...
  • №130
  • 872,93 КБ
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Wiley-Interscience, 1995. — 517 p. — ISBN: 0471305022, 978-0471305026. This book was initially undertaken in 1987 in Moscow. We have found that the majority of books on mathematical models of reliability are very specialized: essentially none of them contains a spectrum of reliability problems. At the same time, many of them are overloaded with mathematics which may be...
  • №131
  • 4,65 МБ
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Springer, 1997. - 267 pages. Introduction. Counting. Independence and conditinal probability. Random variables. More about random variables. Approximating probabilities. Generating functions. Random walks. Markov Chains.
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  • 1,65 МБ
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New York: Springer, 1997. — 272 p. Discrete Probability is a textbook, at a post-calculus level, for a first course in probability. Since continuous probability is not treated, discrete probability can be covered in greater depth. The result is a book of special interest to students majoring in computer science as well as those majoring in mathematics. Since calculus is used only...
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  • 19,27 МБ
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Course Technology. Boston, MA, USA. 2012. Includes index. ISBN-13: 978-1-4354-5656-3 ISBN-10: 1-4354-5656-4 eISBN-10: 1-4354-5657-2 Master Math: Probability is a comprehensive reference guide that explains and clarifies the principles of probability in a simple, easy-to-follow style and format. Beginning with the most basic fundamental topics and progressing through to the more...
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  • 3,90 МБ
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Wiley, 2012. — 320 p. — ISBN: 1118063252 , ISBN-13: 9781118063255 Classic Problems of Probability presents a lively account of the most intriguing aspects of statistics. The book features a large collection of more than thirty classic probability problems which have been carefully selected for their interesting history, the way they have shaped the field, and their...
  • №135
  • 7,16 МБ
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New York: Springer, 2016. - 118p. Provides a thorough survey of tempered stable distributions and their associate Levy processes Self-contained discussion and overview makes it perfect for researchers interested in learning about tempered stable distributions Many new cutting-edge results of interest to specialists in the area This brief is concerned with tempered stable...
  • №136
  • 1,39 МБ
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Oxford University Press, 2014. — 280 p. — 2nd ed. — ISBN: 9780198709961 Probability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour. This book is a compact account of the basic features of probability and random processes at the level of first and second year mathematics undergraduates and Masters students in cognate...
  • №137
  • 1,83 МБ
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Oxford University Press, 2001. — 448 p. — ISBN: 0198572212. This book contains more than 1000 exercises in probability and random processes, together with their solutions. Apart from being a volume of worked exercises in its own right, it is also a solutions manual for exercises and problems appering in textbook Grimmett G.R., Stirzaker D.R. Pobabiliy and Random Pocesses,...
  • №138
  • 9,44 МБ
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Oxford, Oxford University Press, 2001. — 448 p. Сборник задач по теории вероятностей с решениями. Дополняет учебник тех же авторов по теории вероятностей и случайным процессам. Для преподавателей и для самостоятельного изучения.
  • №139
  • 7,10 МБ
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New York: AMS, 2011. - 250p. This book explores four real-world topics through the lens of probability theory. It can be used to supplement a standard text in probability or statistics. Most elementary textbooks present the basic theory and then illustrate the ideas with some neatly packaged examples. Here the authors assume that the reader has seen, or is learning, the basic...
  • №140
  • 5,91 МБ
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1997. 565 pp. Electronic publication. Полностью распознано. Contents: Discrete Probability Distributions. Simulation of Discrete Probabilities. Discrete Probability Distributions. Continuous Probability Densities. Simulation of Continuous Probabilities. Continuous Density Functions. Combinatorics. Permutations. Combinations. Card Shuffling. Conditional Probability....
  • №141
  • 2,64 МБ
  • дата добавления неизвестна
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1999. 510 pp. Electronic publication. Contents: Discrete Probability Distributions. Simulation of Discrete Probabilities. Discrete Probability Distributions. Continuous Probability Densities. Simulation of Continuous Probabilities. Continuous Density Functions. Combinatorics. Permutations. Combinations. Card Shuffling. Conditional Probability. Discrete Conditional...
  • №142
  • 1,69 МБ
  • дата добавления неизвестна
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Atlantic Publishers and Distributors (P) Ltd., 2011. — 410 p. — ISBN 812691694. Probability theory is a well-established branch of mathematics that finds applications in a wide area of scholarly activities such as in physics, chemistry, biology, geology, medicine, economics, sociology, engineering, operation research, etc. and in daily experiences ranging from weather forecast to...
  • №143
  • 70,36 МБ
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Springer – 2009, 309 pages ISBN: 1441901612 The purpose of this book is to provide the reader with a solid background and understanding of the basic results and methods in probability theory before entering into more advanced courses. The first six chapters focus on some central areas of what might be called pure probability theory: multivariate random variables, conditioning,...
  • №144
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Springer, 1995. — 278 p. — ISBN: 0387945075 The purpose of this book is to provide the reader with a solid background and understanding of the basic results and methods in probability theory before entering into more advanced courses. The first six chapters focus on the following central areas of probability: multivariate random variables, conditioning, transforms, order...
  • №145
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Springer, 2013. – 618 p. – 2nd ed. – ISBN: 1461447070, 9781461447085 Like its predecessor, this book starts from the premise that, rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities,...
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Springer – 2007, 603 pages ISBN: 0387228330, 9780387228334 "I know it's trivial, but I have forgotten why". This is a slightly exaggerated characterization of the unfortunate attitude of many mathematicians toward the surrounding world. The point of departure of this book is the opposite. This textbook on the theory of probability is aimed at graduate students, with the...
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Birkhäuser, 1991. — 428 pp. The past decade has seen a resurgence of interest in the study of the asymptotic behavior of sums formed from an independent sequence of random variables. In particular, recent attention has focused on the interaction of the extreme summands with, and their influence upon, the sum. As observed by many authors, the limit theory for sums can be...
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2nd edition. — Springer, 2013. — 296 p. — (Springer Undergraduate Mathematics Series). — ISBN: 1447153421 The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday experiences...
  • №149
  • 1,93 МБ
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Springer, 2013. — 296 p. — 2nd ed. — (Springer Undergraduate Mathematics Series). — ISBN: 1447153421, 9781447153436 The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday...
  • №150
  • 1,97 МБ
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Addison Wesley, 1991. - 344 pages. This is a superb text for all current and future practitioners of statistics. Richard Hamming wrote this book with a clear pedagogical vision of how to approach the subject in a clear yet nontrivial manner. Particularly clear and deep coverage of generating functions cannot be found in any other book ever written.
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Second Edition. — Winsted: ACTEX Publications, 2006. — 434 p. — ISBN 978-1566983471. This is an excelent book for students who are looking for a first course in probability. Hasset and Stewart wrote this book with the student/reader in mind; they use a lot of real life examples and teach you how to use technology. Actually you can replicate their examples using a spreadsheet or an...
  • №152
  • 14,90 МБ
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London: Academic Press, 1974. — 153 p. The notion of concentration function was introduced in probability theory in 1937 by Lévy in his famous monograph devoted to sums of random variables. Since then, concentration functions ha\e been used to investigate convergence problems for sums of independent random variables. The material devoted to these functions is to be found scattered...
  • №153
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2nd enlarged edition. — World Scientific, 2010. — 412 p. The book is conceived as a text accompanying the traditional graduate courses on probability theory. An important feature of this enlarged version is the emphasis on algebraic-topological aspects leading to a wider and deeper understanding of basic theorems such as those on the structure of continuous convolution semigroups...
  • №154
  • 1,28 МБ
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Providence: American Mathematical Society, 2006. — 381 p. The book treats free probability theory, which has been extensively developed since the early 1980s. The emphasis is put on entropy and the random matrix model approach. The volume is a unique presentation demonstrating the extensive interrelation between the topics. Wigner's theorem and its broad generalizations, such as...
  • №155
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Basel: Birkhäuser, 2003. — 242 p. The title High Dimensional Probability is an attempt to describe the many trib­ utaries of research on Gaussian processes and probability in Banach spaces that started in the early 1970's. In each of these fields it is necessary to consider large classes of stochastic processes under minimal conditions. There are rewards in re­ search of this...
  • №156
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N.-Y.: Springer, 2007. — 382 p. This is the first book to comprehensively cover quantum probabilistic approaches to spectral analysis of graphs, an approach developed by the authors. The book functions as a concise introduction to quantum probability from an algebraic aspect. Here readers will learn several powerful methods and techniques of wide applicability, recently...
  • №157
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Springer, 2004. — 442 p. — ISBN: 3-540-40652-2. Non-uniform random variate generation is an established research area in the intersection of mathematics, statistics and computer science. Although random variate generation with popular standard distributions have become part of every course on discrete event simulation and on Monte Carlo methods the recent concept of universal...
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  • 3,22 МБ
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Basel: Birkhäuser, 2016. — 480 p. This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d'Études Scientifiques de Cargèse (IESC) in Corsica, France. High Dimensional Probability (HDP) is an area of mathematics that includes the study of probability distributions and limit theorems in infinite-dimensional spaces such as Hilbert...
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Basel: Birkhauser, 2013. — 367 p. Contents: Preface Inequalities and Convexity: Limit Theorems: Random Matrices and Applications: High Dimensional Statistics: Participants Dedication Introduction Bracketing entropy estimate Bounding bracketing entropy using metric entropy References Introduction Slepian’s inequality Integral orderings Modular orderings References Introduction...
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Springer, 2009. — 91 p. Contents : Introduction. Definitions and Axioms. Counting Arguments. Discrete Random Variables. Game Theory. Continuous Random Variables. Hypothesis Testing. Brief Compendium of Useful Statistical Functions. Application to Queuing Theory.
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Springer, 1995. — 256 p. Cars, Goats, and Sample Spaces How to Count: Birthdays and Lotteries Conditional Probability: From Kings to Prisoners The Formula of Thomas Bayes and Other Matters The Idea of Independence, with Applications A Little Bit About Games Random Variables, Expectations, and More About Games Baseball Cards, The Law of Large Numbers, and Bad News for Gamblers From...
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2nd edition. — Springer, 2004. — 247 p. We present here a one-semester course on Probability Theory. We also treat measure theory and Lebesgue integration, concentrating on those aspects which are especially germane to the study of Probability Theory. The book is intended to fill a current need: there are mathematically sophisticated students and researchers (especially in...
  • №163
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Berlin: Springer, 2004. - 227p. This introduction to Probability Theory can be used, at the beginning graduate level, for a one-semester course on Probability Theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as Finance Theory (Economics),...
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Springer, 2017. — 228 p. — (Lecture notes in computer science 10030.; LNCS sublibrary. SL 2, Programming and software engineering). — ISBN 9783319611525, 3319611526, 9783319611518. Today, when a security incident happens, the top three questions a cyber operation center would ask are: What has happened? Why did it happen? What should I do? Answers to the first two questions form...
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Cambridge University Press, 2003. — ISBN-13 978-0-521-59271-0. For many years there has been controversy over "frequentist" versus "Bayesian" methods of inference, in which the writer has been an outspoken partisan on the Bayesian side. The record of this up to 1981 is given in an earlier book (Jaynes, 1983). In these old works there was a strong tendency, on both sides, to argue...
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Cambridge University Press, 2003. For many years there has been controversy over "frequentist" versus "Bayesian" methods of inference, in which the writer has been an outspoken partisan on the Bayesian side. The record of this up to 1981 is given in an earlier book (Jaynes, 1983). In these old works there was a strong tendency, on both sides, to argue on the level of philosophy or...
  • №167
  • 4,63 МБ
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Cambridge: Cambridge University Press, 1992. - 257 p. Richard Jeffrey is beyond dispute one of the most distinguished and influential philosophers working in the field of decision theory and the theory of knowledge. His work is distinctive in showing the interplay of epistemological concerns with probability and utility theory. Not only has he made use of standard probabilistic...
  • №168
  • 10,82 МБ
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Cambridge University Press, 2004. — 142 p. — ISBN 0521829712. This book offers a concise survey of basic probability theory from a thoroughly subjective point of view whereby probability theory is a mode of judgement. Written by one of the greatest figures in the field of probability theory, the book is both a summation and a synthesis of a lifetime of wrestling with such problems...
  • №169
  • 933,79 КБ
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2nd ed. — Oxford: Clarendon Press, 1948. — 416 p. This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without...
  • №170
  • 4,44 МБ
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Oxford: Oxford University Press, 1995. - 172p. During the last 15 years, there has been a systematic development of saddlepoint approximations. They give a highly accurate expression for the tail of a distribution, not only in the center but also for very small tail probabilities. Saddlepoint Approximations provides a complete account of this systematic development, giving...
  • №171
  • 8,48 МБ
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Copenhagen: Institute of Mathematical Statistics, 1979. - 105p. Aythor's preface: "The first version of these notes appeared in 1970 when I lectured on exponential families on the basis of some notes written by Ole Barndorff - Nielsen and Anders Holst Andersen. A Danish version appeared in 1976 in connection with a graduate course in statistics and the present version...
  • №172
  • 3,70 МБ
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John Wiley, 2005. — 675 p. This book is dedicated to the memory of Professor N. L. Johnson, who passed away during the production stages. He was my longtime friend and mentor; his assistance with this revision during his long illness is greatly appreciated. His passing is a sad loss to all who are interested in statistical distribution theory. The preparation of the third...
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  • 4,90 МБ
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N.-Y., Wiley, 1994. — 761p. — (Wiley Series in Probability and Statistics) В первом томе справочника по статистическим распределениям рассмотрены общие аспекты статистических распределений (включая методы их аппроксимации - семейство Пирсона, разложение Корниша-Фишера и др.) и основные непрерывные одномерные распределения, включая нормальное, логнормальное, инверсное нормальное...
  • №174
  • 21,44 МБ
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2nd ed. — Wiley, 1995. — 717 p. This volume presents a detailed description of the statistical distributions that are commonly applied to such fields as engineering, business, economics and the behavioural, biological and environmental sciences. The authors cover specific distributions, including logistic, slash, bathtub, F, non-central Chi-square, quadratic form, non-central F,...
  • №175
  • 19,28 МБ
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NY.: Chapman and Hall/CRC, 2011. — 499 p. An intuitive and mathematical introduction to subjective probability and Bayesian statistics. An accessible, comprehensive guide to the theory of Bayesian statistics, Principles of Uncertainty presents the subjective Bayesian approach, which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte...
  • №176
  • 2,95 МБ
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Walter de Gruyter, 2004. - 532 Pages. Recent developments show that probability methods have become a very powerful tool in such different areas as statistical physics, dynamical systems, Riemannian geometry, group theory, harmonic analysis, graph theory and computer science. This volume is an outcome of the special semester 2001 - Random Walks held at the Schrödinger...
  • №177
  • 4,06 МБ
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Springer, 1997. — 534 p. — ISBN: 0387949577, 9780387949574 This book is unique for its broad and yet comprehensive coverage of modern probability theory, ranging from first principles and standard textbook material to more advanced topics. In spite of the economical exposition, careful proofs are provided for all main results. Though primarily intended as a general reference...
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  • 2,52 МБ
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Viking Adult, 2006. - 336 pages. Everything is possible, yet only one thing happens": this is the essence of probability, quantifying what could happen. Filmmaker Michael Kaplan and Ellen Kaplan (coauthor of The Art of the Infinite) trace probability back to its original conception in the 1660s (by a gambler, of course) and show how it affected not only science, which would be...
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  • 2,32 МБ
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Academic Press Inc., 1972. — 668 p. — ISBN: 0124036503, 9780124036505 The methods and results of Fourier analysis have been effectively utilized in the analytic theory of probability. Moreover, simple analogs of some results in Fourier analysis have actually given rise to many significant results in probability theory. However, one often hears the complaint that in seeking...
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New York: Hafner, 1965. - 232p. Contents : Introduction and summary Homogeneous Markov processes Conjugate transformation and asymptotic behaviour The passage problem for homogeneous skip-free processes Bounded processes and ergodic Green's functions Ergodic distributions, ruin problems, and extremes Processes with representation of finite dimension.
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AMS, 2007. — 224 p. — ISBN: 0821842153, 9780821842157 This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting...
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  • 2,74 МБ
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AMS, 2007. — 224 p. — ISBN: 0821842153, 9780821842157 This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting...
  • №183
  • 3,96 МБ
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2nd Edition. — Walter de Gruyter, 2009. — 238 p. — ISBN 3110207486. This book presents the developments of geodesy from antiquity through the Middle Ages and the early modern era, right up to the middle of the 20th century, with a special focus on the developments in Germany. Contents of probability theory Quantum probabilities Negative probabilities p-adic probability theory...
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  • 1,20 МБ
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Oxford: Oxford University Press, 2011. - 161p. The name "random walk" for a problem of a displacement of a point in a sequence of independent random steps was coined by Karl Pearson in 1905 in a question posed to readers of "Nature". The same year, a similar problem was formulated by Albert Einstein in one of his Annus Mirabilis works. Even earlier such a problem was posed by...
  • №185
  • 958,21 КБ
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2 edition. — Springer, 2013. — 638 p. — (Universitext). — ISBN: 144715360X. This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous...
  • №186
  • 8,01 МБ
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Springer, 2014. — 638 pp. This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils of random...
  • №187
  • 5,15 МБ
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Springer-Verlag London, 2008, 616 pages, ISBN: 1848000472 Probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us to understand magnetism, amorphous media, genetic diversity and the perils of random developments on the financial markets, and they guide us in constructing more...
  • №188
  • 3,21 МБ
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Springer International Publishing AG, 2018. — 266 p. — ISBN 3319776967. This book covers pseudorandom number generation algorithms, evaluation techniques, and offers practical advice and code examples. Random Numbers and Computers is an essential introduction or refresher on pseudorandom numbers in computer science. The first comprehensive book on the topic, readers are provided...
  • №189
  • 3,73 МБ
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Springer International Publishing AG, 2018. — 224 p. — ISBN 3319776967. This book covers pseudorandom number generation algorithms, evaluation techniques, and offers practical advice and code examples. Random Numbers and Computers is an essential introduction or refresher on pseudorandom numbers in computer science. The first comprehensive book on the topic, readers are provided...
  • №190
  • 2,00 МБ
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The MIT Press, 2009. - 1208 pages Дата выхода: July 31, 2009 / SBN-10: 0262013193, SBN Содержание: Foundations Representation The Bayesian Network Representation Undirected Graphical Models Local Probabilistic Models Template-Based Representations Gaussian Network Models The Exponential Family nference Exact Inference: Variable Elimination Exact Inference: Clique...
  • №191
  • 54,77 МБ
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The MIT Press, 2009. - 1208 pages. Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning...
  • №192
  • 34,44 МБ
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2009. Massachusetts Institute of Technology. Не скан. Электронная версия книги. Introduction Motivation Structured Probabilistic Models Overview and Roadmap Historical Notes Foundations Probability Theory Graphs Relevant Literature Exercises The Bayesian Network Representation Exploiting Independence Properties Bayesian Networks Independencies in Graphs From...
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  • 7,45 МБ
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New York: Chelsea Publishing Company, 1956. — 84 p. Intended for anyone who wants a thorough understanding of modern statistics, this basic tract develops probability theory on a postulational basis. The book is intended for graduate students and research mathematicians.
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  • 3,55 МБ
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Chelsey Publishing company, New York, 1950. — 71 p. The purpose of this monography is to give an axiomatic foundation for the theory of probability. The author set himself the task of putting in their natural place, among the general notions of modern mathematics, the basic concepts of probability theory — concepts which until recently were considered to be quite perculiar....
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  • 1,84 МБ
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N.-Y.: CRC Press, 2008. — 376 p. From ancient soothsayers and astrologists to today’s pollsters and economists, probability theory has long been used to predict the future on the basis of past and present knowledge. Mathematical Models of Information and Stochastic Systems shows that the amount of knowledge about a system plays an important role in the mathematical models used...
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  • 11,34 МБ
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Imperial College Press, 2000. — 190 p. — ISBN: 1860942245, 978-1860942242. A comprehensive and down-to-earth survey of the theory and practice of extreme value distributions — one of the most prominent success stories of modern applied probability and statistics. Originated by E.J. Gumbel in the early 1940s as a tool for predicting floods, extreme value distributions evolved...
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  • 1,26 МБ
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Singapore: World Scientific Publishing Co. Re. Ltd., 2001. — 195 p. This important book provides an up-to-date comprehensive and down-to-earth survey of the theory and practice of extreme value distributions - one of the most prominent success stories of modern applied probability and statistics. Originated by E J Gumbel in the early forties as a tool for predicting floods,...
  • №198
  • 9,93 МБ
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2nd edition. — John Wiley & Sons, 2000. — 722 p. Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and...
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  • 4,34 МБ
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University of Queensland, 2009. — 127 p. Contents : Random Experiments and Probability Models. Random Variables and Probability Distributions. Generating Random Variables on a Computer. Joint Distributions. Functions of Random Variables and Limit Theorems. Exercises and Solutions. Sample Exams. Summary of Formulas. Statistical Tables.
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  • 935,62 КБ
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Huntington: Krieger, 1980. — 273 p. In the fifteen years since the first edition of Studies in Subjective Probability appeared, the point of view represented by de Finetti, Ramsey, and Savage has become better known not only in philosophy and statistics where it originated, but in schools of business management, in economics and formal political science, and in psychology, both as...
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  • 3,09 МБ
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Berlin: Springer, 2014. — 118 p. — ISBN: 978-3-642-39105-7, e-ISBN: 978-3-642-39106-4. The Weibull distribution has been one of the most cited lifetime distributions in reliability engineering. Over the last decade, many generalizations and extensions of the Weibull have been proposed in order to provide more flexibility than the traditional version when it comes to modeling...
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  • 2,23 МБ
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Wiley, 1996. - 189 pages. 2nd Edition. The brand new edition of this classic text - with more exercises and easier to use than ever Like the first edition, this new version of Lamperti's classic text succeeds in making this fascinating area of mathematics accessible to readers who have limited knowledge of measure theory and only some familiarity with elementary probability....
  • №203
  • 5,75 МБ
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2nd Edition. — Springer-Verlag, 2010. — 436 p. — ISBN: 978-1441971647, e-ISBN: 978-1441971654. This textbook on applied probability is intended for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. It presupposes knowledge of multivariate calculus, linear algebra, ordinary differential equations, and...
  • №204
  • 3,34 МБ
  • дата добавления неизвестна
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Springer, 2003. — 379 p. — ISBN: 0387004254 This textbook on applied probability is intended for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. It presupposes knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probability theory. Given these...
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  • 3,31 МБ
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Providence: American Mathematical Society, 1999. — 113 p. This volume is based on classes in probability for advanced undergraduates held at the IAS/Park City Mathematics Institute (Utah). It is derived from both lectures (Chapters 1-10) and computer simulations (Chapters 11-13) that were held during the program. The material is coordinated so that some of the major computer...
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  • 730,02 КБ
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New York: Springer, 2016. - 279p. Provides a concise and rigorous presentation of stochastic integration and stochastic calculus for continuous semimartingales Presents major applications of stochastic calculus to Brownian motion and related stochastic processes Includes important aspects of Markov processes with applications to stochastic differential equations and to...
  • №207
  • 2,32 МБ
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Springer, 2009. — 340 p. This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory. This is...
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  • 15,72 МБ
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N.-Y.: Springer, 2009. - 381p. Quasi-Monte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. Their successful implementation on practical problems, especially in finance, has motivated the development of several new research areas within this field to which practitioners and researchers from various disciplines...
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  • 3,95 МБ
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N.-Y.: AMS, 2005. - 150p. Everyone knows some of the basics of probability, perhaps enough to play cards. Beyond the introductory ideas, there are many wonderful results that are unfamiliar to the layman, but which are well within our grasp to understand and appreciate. Some of the most remarkable results in probability are those that are related to limit theorems-statements...
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Science Press Beijing and Springer-Verlag, 2010. - 180 pages. Inequality has become an essential tool in many areas of mathematical research, for example in probability and statistics where it is frequently used in the proofs. "Probability Inequalities" covers inequalities related with events, distribution functions, characteristic functions, moments and random variables...
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New York: Dover Publications, 1992. ISBN 13: 9780486421452 ISBN 10: 0486421457 Язык: Английский Страниц в печатном издании: 272, PDF: 263 Другое издание: New York: Wiley, 1992, 257 стр. Метод склеивания (каплинг-метод) В последние годы большое развитие получил один из мощных и изящных методов теории вероятностей — метод одного вероятностного пространства...
  • №212
  • 24,83 МБ
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McGraw-Hill, 1965. — 153 p. Master probability with Schaum'sthe high-performance study guide. It will help you cut study time, develop problem-solving skills, and achieve your personal best on exams! Students love Schaum's Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable...
  • №213
  • 1,72 МБ
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New York: McGraw-Hill, 2011. — 318 p. The ideal review for your probability course 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 books is the...
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London: Griffin, 1970. — 360 p. This volume studies characteristic functions--which play an essential role in probability and statistics-- for their intrinsic, mathematical interest. Contents : Title Preface to Second Edition Preface to First Edition Distribution functions Examples of distribution functions The method of integral transforms Moments Elementary properties of...
  • №215
  • 10,77 МБ
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Cambridge University Press, 2016. — 720 p. Starting around the late 1950s, several research communities began relating the geometry of graphs to stochastic processes on these graphs. This book, twenty years in the making, ties together research in the field, encompassing work on percolation, isoperimetric inequalities, eigenvalues, transition probabilities, and random walks....
  • №216
  • 15,45 МБ
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A JOHN WILEY & SONS, INC., PUBLICATION. 2012. — 368 pages. ISBN: 1118217985. Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability,...
  • №217
  • 2,51 МБ
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World Scientific Publishing, 2004. — 376 p. — ISBN: 9812387390, 9812387404 This book has been designed for senior engineering, mathematics and systems science students. In addition, the author has used the optional, advanced sections as the basis for graduate courses in quality control and queueing. It is assumed that the students have taken a first course in probability but...
  • №218
  • 18,04 МБ
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(интернет-издание), 1999. - 120p. Справочник по статистических распределениям и смесям распределений. Описано 35 непрерывных и дискретных и 21 смесь распределений. Приведены выражения для плотности и функции распределения, моменты, основные свойства. Для специалистов по теории вероятностей.
  • №219
  • 413,78 КБ
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Birkhäuser, 2008. — 198 p. — 2nd ed. — ISBN: 3764387238, 9783764387235 Compactly written, but nevertheless very readable, appealing to intuition, this introduction to probability theory is an excellent textbook for a one-semester course for undergraduates in any direction that uses probabilistic ideas. Technical machinery is only introduced when necessary. The route is rigorous...
  • №220
  • 1,40 МБ
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Springer, Ronald Meester, 2003, 191 p. Contents. Experiments. Random variables and random vectors. Random walk. Limit theorems. Intermezzo. Continuous random variables and vectors. In nitely many repetitions. The Poisson process. Limit theorems. Extending the probabilities.
  • №221
  • 855,56 КБ
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Leif Mejlbro & Ventus Publishing ApS, 2009. - 109 pages. ISBN: 8776815233 In this book you find the basic mathematics that is needed by engineers and university students . The author will help you to understand the meaning and function of mathematical concepts. The best way to learn it, is by doing it, the exercises in this book will help you do just that.
  • №222
  • 5,36 МБ
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Springer, 2009. — 432 p. The volume offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It includes detailed discussions of the fundamental models regarding claim sizes, claim arrivals, the total claim amount, and their probabilistic properties. Throughout the volume the language of stochastic processes...
  • №224
  • 7,67 МБ
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Princeton University Press, 2017. — 752 p. — ASIN B01N8U6YNU. The essential lifesaver for students who want to master probability. For students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete stand-alone introduction to the subject or as...
  • №225
  • 9,61 МБ
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Singapore: World Scientific Publishing Company, 2013. — 192 p. This is a book of problems in probability and their solutions. The work has been written for undergraduate students who have a background in calculus and wish to study probability. Probability theory is a key part of contemporary mathematics. The subject plays a key role in the insurance industry, modelling...
  • №226
  • 4,08 МБ
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Springer Science+Business Media LLC, 2017. — 343 p. — (Fields Institute Monographs 35) — ISBN 1493969412. This volume opens the world of free probability to a wide variety of readers. From its roots in the theory of operator algebras, free probability has intertwined with non-crossing partitions, random matrices, applications in wireless communications, representation theory of...
  • №227
  • 4,86 МБ
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Oxford University Press, 1984. - 550 pages. ISBN: 0198532423 A number of excellent books on probability theory have recently been published. Nearly all of these are either elementary introductions to the subject or else are written only for those who are interested in deep problems of modern abstract analysis. The present book has been written to provide an outline of the main...
  • №228
  • 24,06 МБ
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CreateSpace, 2016. — 372 p. — ISBN 978-1523318674. This book is written for high school and college students learning about probability for the first time. It will appeal to the reader who has a healthy level of enthusiasm for understanding how and why the various results of probability come about. All of the standard introductory topics in probability are covered: combinatorics,...
  • №229
  • 2,18 МБ
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Dover Publications, 1987. — 88 p. Remarkable selection of puzzlers, graded in difficulty, that illustrate both elementary and advanced aspects of probability. Selected for originality, general interest or because they demonstrate valuable techniques, the problems are ideal as a supplement to courses in probability or statistics, or as stimulating recreation for the...
  • №230
  • 604,81 КБ
  • дата добавления неизвестна
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Houston: University of Texas School of Public Health, 2015. – 675 p. The book is the lectures on probability. The author taught probability for twenty-five years at the University of Texas School of Public Health in Houston. His work in cell therapy has exposed him to new applications and problems in probability. One of his project manager, Shelly Sayre raised probing questions...
  • №231
  • 3,98 МБ
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Princеton Univеrsity Prеss, 2008. — 276 p. Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rolls of a pair of dice. This is what Digital Dice is all...
  • №232
  • 18,95 МБ
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Singapore: World Scientific Publishing Company, 2007. - 230p. Standard probability theory has been an enormously successful contribution to modern science. However, from many perspectives it is too narrow as a general theory of uncertainty, particularly for issues involving subjective uncertainty. This first-of-its-kind book is primarily based on qualitative approaches to...
  • №233
  • 1,98 МБ
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Princeton University Press, 1987, Edward Nelson, ISBN 0691084742, 9780691084749, 111 p. Nelson develops a new approach to probability theory that is just as powerful as but much simpler than conventional Kolmogorov-style probability theory used throughout mathematics for most of the 20th century.
  • №234
  • 2,84 МБ
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San Francisco: Holden-day, 1965. - 235p. In its present state, the calculus of probability and, in particular, the theory of stochastic processes and vector-valued random variables, cannot be understood by one who does not have, to begin with, a thorough understanding of measure theory. If one is to prepare for participation in the future development of thec alculus of...
  • №235
  • 6,39 МБ
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Masson et Cie, 1964. — 205 p. La théorie des probabilités a pour objet l analyse mathématique de la 110tioll de hasard. En tant que discipline mathématique, elle ne peut se développer d'une manière rigoureuse que si elle se fonde sur un système de définitions et d'axiomes bien explicités.
  • №236
  • 5,08 МБ
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N.-Y.: Wiley, 1995. — 795 p. As a continuation of Univariate Discrete Distributions, second edition, this book is the first of two volumes to discuss continuous univariate distributions. The second edition of Continuous Univariate Distributions differs from the first, published in 1970, in two important aspects: (1) Professor N. Balakrishnan has joined the two original authors...
  • №237
  • 9,04 МБ
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Wiley-Interscience, 1994. — 777 p. — ISBN: — 0471584959 As a continuation of Univariate Discrete Distributions, second edition, this book is the first of two volumes to discuss continuous univariate distributions. The second edition of Continuous Univariate Distributions differs from the first, published in 1970, in two important aspects: (1) Professor N. Balakrishnan has...
  • №238
  • 9,68 МБ
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Berlin: Springer-Verlag, 2012. — 194 p. — ISBN: 978-3-642-25531-1, e-ISBN: 978-3-642-25532-8. The book concerns the notion of association in probability and statistics. Association and some other positive dependence notions were introduced in 1966 and 1967 but received little attention from the probabilistic and statistics community. The interest in these dependence notions...
  • №239
  • 1,10 МБ
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Wiley, 2010. — 267 p. This book is intended as a popular, but abbreviated treatise on probability theory. Basic concepts and techniques are introduced and illustrated mainly by drawing from a wealth of entertaining, paradoxical, and mind-boggling probability problems (such as the birthday problem or the Monty Hall problem). The writing style is purposefully enjoyable and mostly...
  • №240
  • 16,26 МБ
  • дата добавления неизвестна
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Springer, 2018. — 476 p. — (Springer Proceedings in Mathematics & Statistics). — ISBN 978-3-319-91436-7. This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at Stanford University (California) in August 2016. These biennial conferences are major events for Monte Carlo...
  • №241
  • 10,22 МБ
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Springer, 2018. — 476 p. — (Springer Proceedings in Mathematics & Statistics). — ISBN 978-3-319-91436-7. This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at Stanford University (California) in August 2016. These biennial conferences are major events for Monte Carlo...
  • №242
  • 8,69 МБ
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New York: Springer, 2018. — 591 p. This textbook provides a self-contained introduction to numerical methods in probability with a focus on applications to finance. Topics covered include the Monte Carlo simulation (including simulation of random variables, variance reduction, quasi-Monte Carlo simulation, and more recent developments such as the multilevel paradigm), stochastic...
  • №243
  • 7,45 МБ
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John Wiley & Sons, 2007. — 432 pages. ISBN: 0470026375 Intermediate Probability is the natural extension of the author's Fundamental Probability. It details several highly important topics, from standard ones such as order statistics, multivariate normal, and convergence concepts, to more advanced ones which are usually not addressed at this mathematical level, or have never...
  • №244
  • 2,84 МБ
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Wiley, 1960. — 480 p. — ISBN: 0471668257 Mathematical probability theory is especially interesting to scientists and engineers. It introduces probability theory, showing how probability problems can be formulated mathematically to systematically attack routine methods. Topics include independence and dependence, probability laws and random variables. Over 500 exercises, an...
  • №245
  • 5,74 МБ
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Wiley-Interscience, 1992. — 480 p. Mathematical probability theory is especially interesting to scientists and engineers. It introduces probability theory, showing how probability problems can be formulated mathematically to systematically attack routine methods. Topics include independence and dependence, probability laws and random variables. Over 500 exercises, an appendix of...
  • №246
  • 17,10 МБ
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New York: Marcel Dekker Inc, 1982. - 344p. Traces the historical development of the normal law. Second Edition offers a comprehensive treatment of the bivariate normal distribution--presenting entirely new material on normal integrals, asymptotic normality, the asymptotic properties of order statistics, and point estimation and statistical intervals. Contents : Genesis:...
  • №247
  • 5,38 МБ
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Alpine, USA: AoPS Incorporated, 2005. — 256 p. — ISBN 0-9773045-0-7. A thorough introduction for students in grades 7-10 to counting and probability. Topics covered in the book include permutations, combinations, Pascal's Triangle, basic combinatorial identities, expected value, fundamentals of probability, geometric probability, the Binomial Theorem, and much more. How to Use...
  • №248
  • 100,73 МБ
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Second Revised Edition. — Dover Publications, 2012. — 416 p. — ISBN: 0486636771, 9780486636771 Using the simple conceptual framework of the Kolmogorov model, this intermediate-level textbook discusses random variables and probability distributions, sums and integrals, mathematical expectation, sequence and sums of random variables, and random processes. For advanced...
  • №249
  • 16,15 МБ
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Springer, 1990. — 683 p. — ISBN: 1461576784, 9781461576785 The book contains more material than can be developed in a one-semester course. This allows some flexibility in topical coverage and makes the book more useful as a continuing reference. The following comments may help the prospective teacher plan for use of the book as a text for an introductory course. Contents:...
  • №250
  • 11,56 МБ
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Springer, 1993. - 538 pages. This textbook is ideal for an undergraduate introduction to probability, with a calculus prerequisite. It is based on a course that the author has taught many times at Berkeley. The text's overall style is informal, but all results are stated precisely, and most are proved. Understanding is developed through intuitive explanations and examples....
  • №251
  • 20,88 МБ
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Springer, 2012. — 719 p. 103 illus., 40 illus. in color. — (Springer Proceedings in Mathematics & Statistics, Vol. 23). — ISBN: 3642274390, 9783642274404 This book represents the refereed proceedings of the Ninth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Warsaw (Poland) in August 2010.These...
  • №252
  • 6,76 МБ
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Springer Science+Business Media, LLC, 2010. — 426 p. — (Fundamental Theories of Physics 161) — ISBN-10: 0387853332. The book offers an exploration of the relationships between epistemology and probability in the work of Niels Bohr, Werner Heisenberg, and Erwin Schrödinger; in quantum mechanics; and in modern physics as a whole. It also considers the implications of these...
  • №253
  • 2,88 МБ
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Cambridge: Cambridge University Press, 2001. — 366 p. This book grew from a one-semester course offered for many years to a mixed audience of graduate and undergraduate students who have not had the luxury of taking a course in measure theory The core of the book covers the basic topics of independence conditioning martingales convergence in distribution and Fourier transforms In...
  • №254
  • 7,06 МБ
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Cambridge University Press, 2001. — 366 p. Rigorous probabilistic arguments, built on the foundation of measure theory introduced eighty years ago by Kolmogorov, have invaded many fields. Students of statistics, biostatistics, econometrics, finance, and other changing disciplines now find themselves needing to absorb theory beyond what they might have learned in the typical...
  • №255
  • 28,29 МБ
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World Scientific, 2013. — 232 p. — ISBN: 978-9814412575. The book is aimed at graduate students and researchers with basic knowledge of Probability and Integration Theory. It introduces classical inequalities in vector and functional spaces with applications to probability. It also develops new extensions of the analytical inequalities, with sharper bounds and generalizations...
  • №256
  • 1,89 МБ
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World Scientific, 2011. - 96 pages. ISBN-10: 9814335479 Recent research in probability has been concerned with applications such as data mining and finance models. Some aspects of the foundations of probability theory have receded into the background. Yet, these aspects are very important and have to be brought back into prominence.
  • №257
  • 3,13 МБ
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Samarqand: Samarqand QXI, 2009. — 164 b. Ehtimollar nazariyasining asosiy tushunchalari Hodisa hodisaning turlari va hodisalar ustida amallar Hodisaning ehtimoli Hodisaning ehtimolini bevosita hisoblash Ehtimolni qo`shish va ko`paytirish teoremalari Birgalikda bo`lmagan va bog`liq bo`lmagan hodisalarning ehtimollarini qo`shi va ko`paytirish Shartli ehtimol. Bogliq hodisalarning...
  • №258
  • 836,00 КБ
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Boston: Elsevier, 1991. — 260 p. The focus of this monograph is on problems in analytical probability theory which give rise to functional equations. It emphasizes the most recent developments of the Integrated Cauchy Functional Equation and its application to characterization problems in statistics Content: Front Matter Copyright Dedication Preface Introduction Background...
  • №259
  • 12,90 МБ
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N.-Y.: Springer, 2003. — 405 p. Processes with long range correlations occur in a wide variety of fields ranging from physics and biology to economics and finance. This book, suitable for both graduate students and specialists, brings the reader up to date on this rapidly developing field. A distinguished group of experts have been brought together to provide a comprehensive...
  • №260
  • 6,15 МБ
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Springer, 2006. — 536 p. This is a revised and expanded edition of a successful graduate and reference text. The book is designed for a standard graduate course on probability theory, including some important applications. The new edition offers a detailed treatment of the core area of probability, and both structural and limit results are presented in detail. Compared to the...
  • №261
  • 23,38 МБ
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Salt Lake City: Department of Mathematics, 2014. - 329p. Part I covers core general large deviation theory, the relevant convex analysis, and the large deviations of i.i.d. processes on three levels: Cramer's theorem, Sanov's theorem, and the process level LDP for i.i.d. variables indexed by a multidimensional square lattice. Part II introduces Gibbs measures and proves the...
  • №262
  • 1,95 МБ
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Berkeley: University of California Press, 1949. — 506 p. Logical foundations of Probability. Multi-level and infinite-value logic, degrees of true, and other. Translated fron German.
  • №263
  • 13,12 МБ
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Reprint of the 2005 Corrected Edition. — Birkhäuser, 2014. — 453 p. — ISBN: 081764055X. Many probability books are written by mathematicians and have the built in bias that the reader is assumed to be a mathematician coming to the material for its beauty. This textbook is geared towards beginning graduate students from a variety of disciplines whose primary focus is not...
  • №264
  • 10,16 МБ
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Birkhäuser Boston, 1999. — 453 p. Many probability books are written by mathematicians and have the built in bias that the reader is assumed to be a mathematician coming to the material for its beauty. This textbook is geared towards beginning graduate students from a variety of disciplines whose primary focus is not necessarily mathematics for its own sake. Instead, A...
  • №265
  • 5,68 МБ
  • дата добавления неизвестна
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Wiley, 2018. — 220 p. — ISBN 978-1-119-30262-9. Covering both random and strategic games, Probability, Decisions and Games features a variety of gaming and gambling examples to build a better understanding of basic concepts of probability, statistics, decision theory, and game theory. The authors present fundamental concepts such as random variables, rational choice theory,...
  • №266
  • 4,06 МБ
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2nd edition. — World Scientific Publishing, 2006. — 237 p. This text grew out of my lecturing the Graduate Probability sequence STA 211 IF / 221 IS at the University of Toronto over a period of several years. During this time, it became clear to me that there are a large number of graduate students from a variety of departments (mathematics, statistics, economics, management,...
  • №267
  • 2,85 МБ
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University of California, Berkeley Книга по теории вероятности на английском языке . Отличное изложение материала с примерами решения задач (! ), выводами по главам и контрольными заданиями.
  • №268
  • 42,17 МБ
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8th Edition. — Prentice Hall, 2009. — 552 p. A First Course in Probability, Eighth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science,...
  • №269
  • 3,05 МБ
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9th ed. — London: Pearson, 2014. — 464 p. A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering...
  • №270
  • 7,42 МБ
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7th Edition. — Prentice Hall, 2005. — 147 pages. This introduction presents the mathematical theory of probability for readers in the fields of engineering and the sciences who possess knowledge of elementary calculus. Presents new examples and exercises throughout. Offers a new section that presents an elegant way of computing the moments of random variables defined as the...
  • №271
  • 12,84 МБ
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Elsevier Inc., 2013. — 400 pages. Fifth Edition ISBN-10: 0124158250 Ross' "Simulation, Fifth Edition" introduces 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 problems in a wide...
  • №272
  • 4,51 МБ
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9th edition. — Elsevier, 2007. — 782 p. — ISBN-13: 978-0-12-598062-3. Contents Introduction to Probability Theory Introduction to Probability Theory Conditional Probability and Conditional Expectation Markov Chains The Exponential Distribution and the Poisson Process Continuous-Time Markov Chains Renewal Theory and Its Applications Queueing Theory Reliability Theory...
  • №273
  • 3,17 МБ
  • дата добавления неизвестна
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10th edition. — Academic Press, 2009. — 801 p. — ISBN-10: 0123756863; ISBN-13: 978-0123756862 Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows...
  • №274
  • 3,02 МБ
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Burlington, Elsevier Inc., 2007. — 801 p. Учебник по теории вероятностей. Не предполагает высокого уровня математической подготовки, однако затрагивает, помимо элементарной теории вероятностей, такие вопросы, как марковские цепи, теория восстановления, теория очередей, теория надёжности, стационарные процессы, статистическое моделирование. Для студентов нематематических...
  • №275
  • 3,65 МБ
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New York: Academic Press, 2001. — 300 p. The role of probability in computer science has been growing for years and, in lieu of a tailored textbook, many courses have employed a variety of similar, but not entirely applicable, alternatives. To meet the needs of the computer science graduate student (and the advanced undergraduate), best-selling author Sheldon Ross has developed...
  • №276
  • 8,67 МБ
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2006. In this text we show how to analyze a model by use of a simulation study. In particular, we first show how a computer can be utilized to generate random (more precisely, pseudorandom) numbers, and then how these random numbers can be used to generate the values of random variables from arbitrary distributions. Using the concept of discrete events we show how to use random...
  • №277
  • 24,60 МБ
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Probabilitybookstore.com, 2007. — 212 pages. The 2006 INFORMS Expository Writing Award-winning and best-selling author Sheldon Ross (University of Southern California) teams up with Erol Peköz (Boston University) to bring you this textbook for undergraduate and graduate students in statistics, mathematics, engineering, finance, and actuarial science. This is a guided tour...
  • №278
  • 9,48 МБ
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10th Edition. — Academic Press, 2010. — 170 p. A solution manual to accompany the 10th edition of Ross' Introduction to Probability Models.
  • №279
  • 442,96 КБ
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Boca Raton: CRC Press, 2012. - 504p. Contents: Introduction Basic Notions Independence and Conditional Probability Discrete Random Variables Generating Functions. Branching Processes. Random Walk Revisited Markov Chains Continuous Random Variables Distributions in the General Case. Simulation Moment Generating Functions The Central Limit Theorem for Independent...
  • №280
  • 4,09 МБ
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Academic Press, 2006. — 400 p. Features exceptionally clear explanations of the mathematics of probability theory and explores its many diverse applications through numerous interesting and motivational examples. This book is an introductory textbook in probability. No prior knowledge in probability is required; however, previous exposure to an elementary precalculus course...
  • №281
  • 7,45 МБ
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Academic Press, 2014. — 548 p. — 2nd ed. — ISBN: 9780128000410 Introduction to Probability, Second Edition, is written for upper-level undergraduate students in statistics, mathematics, engineering, computer science, operations research, actuarial science, biological sciences, economics, physics, and some of the social sciences. With his trademark clarity and economy of...
  • №282
  • 9,16 МБ
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Dover Publications, 1977. - 156 p. This book is a concise introduction to modern probability theory and certain of its ramifications. By deliberate succinctness of style and judicious selection of topics, it manages to be both fast-moving and self-contained. Contents Basic concepts Combination of events Dependent events Random variables Three important probability...
  • №283
  • 5,00 МБ
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John Wiley & Sons, 2006. — 384 p. — (For Dummies). Packed with practical tips and techniques for solving probability problems. Increase your chances of acing that probability exam - or winning at the casino! Whether you're hitting the books for a probability or statistics course or hitting the tables at a casino, working out probabilities can be problematic. This book...
  • №284
  • 4,50 МБ
  • дата добавления неизвестна
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Springer, 2006. — 281 p. The purpose of this book is to present concepts in a statistical treatment of risks. Such knowledge facilitates the understanding of the influence of random phenomena and gives a deeper knowledge of the possibilities offered by and algorithms found in certain software packages. Since Bayesian methods are frequently used in this field, a reasonable...
  • №285
  • 4,86 МБ
  • дата добавления неизвестна
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Amsterdam: de Gruyter, 2013. - 377p. Multivariate characteristic functions are the Fourier transforms of distributions of random vectors. They represent an important tool for the study of different problems of probability theory, e.g. limit theorems, characterization problems, and description of special distributions, but they also appear as correlation functions of stationary...
  • №286
  • 1,85 МБ
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Berlin: de Gruyter, 2010.— 328 p. This text is a self-contained and unified approach to Bernstein functions and their subclasses, bringing together old and establishing new connections. Applications of Bernstein functions in different fields of mathematics are given, with special attention to interpretations in probability theory. An extensive list of complete Bernstein functions...
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Cambridge: Cambridge University Press, 2017. — 336 p. Contents: Prologue. The pleasures of counting. Sigma-Algebras. Measures. Uniqueness of measures. Existence of measures. Measurable mappings. Measurable functions. Integration of positive functions. Integrals of measurable functions. Null sets and the ‘almost everywhere’. Convergence theorems and their applications. The function...
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  • 1,41 МБ
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N.-Y.: Birkhauser, 2012. - 360p. 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 difficulties with calculus that does not...
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  • 1,48 МБ
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Boca Raton: CRC Press, 2011 — 194 p. Introduction to Probability with Texas Hold’em Examples illustrates both standard and advanced probability topics using the popular poker game of Texas Hold’em, rather than the typical balls in urns. The author uses students’ natural interest in poker to teach important concepts in probability. This classroom-tested book covers the main...
  • №290
  • 29,17 МБ
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Wiley, 2011. - 622 pages. A thorough introduction to the fundamentals of probability theory. This book offers a detailed explanation of the basic models and mathematical principles used in applying probability theory to practical problems. It gives the reader a solid foundation for formulating and solving many kinds of probability problems for deriving additional results...
  • №291
  • 7,42 МБ
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Tutorial, 24 p, University of Massachusetts at Amherst. Probability and Uncertainty. Basic Definitions. Basic Axioms. Conditional Probability. Bayes’ Theorem. Independence and Conditional Independence. Discrete Random Variables. Continuous Random Variables. Multivariate Distributions. Summaries. Special Distributions. Independence.
  • №292
  • 258,64 КБ
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Cambridge University Press, 2005. — 528 р. Properties of Probability Distributions Conditional Distributions and Expectation Characteristic Functions Moments and Cumulants Parametric Families of Distributions Stochastic Processes Distribution Theory for Functions of Random Variables Normal Distribution Theory Approximation of Integrals Orthogonal Polynomials...
  • №293
  • 2,70 МБ
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7 Edition. — September 4, 2007. — 189 p. This introduction presents the mathematical theory of probability for readers in the fields of engineering and the sciences who possess knowledge of elementary calculus. Presents new examples and exercises throughout. Offers a new section that presents an elegant way of computing the moments of random variables defined as the number of...
  • №294
  • 943,19 КБ
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Springer, 2013. — 466 p. — (Springer Proceedings in Mathematics and Statistics 33). — ISBN 3642335489. The role of Yuri Vasilyevich Prokhorov as aprominent mathematician and leading expert in the theory of probability is well known. Even early in his career he obtained substantial results on the validity of the strong law of large numbers and on the estimates (bounds) of the rates...
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  • 5,86 МБ
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Springer, 2000. - 585 Pages. Probability for Statisticians is intended as a text for a one year graduate course aimed especially at students in statistics. The choice of examples illustrates this intention clearly. The material to be presented in the classroom constitutes a bit more than half the text, and the choices the author makes at the University of Washington in Seattle...
  • №296
  • 3,06 МБ
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Springer Science + Business Media, 2006. — 200 p. — ISBN: 978-1-4020-7058-7, 978-0-387-34657-1, e-ISBN: 978-0-387-47694-0. The Gaussian distribution and those derived from it are at the very core of a huge number of problems in multi-disciplinary fields of engineering, mathematics and science. All scientists and professional engineers face, sooner or later, a problem whose...
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  • 5,15 МБ
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Edited by Yu.V. Prokhorov. — Springer, 2004. — 275 p. Original Russian edition published by Viniti, Moscow 1989 Title of the Russian edition: Teoriya Veroyatnostej 1 The book is an introduction to modern probability theory written by one of the famous experts in this area. Readers will learn about the basic concepts of probability and its applications, preparing them for more...
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L.: College Publications, 2010. - 564 p. This book introduces elementary probability through its history, eschewing the usual drill in favour of a discussion of the problems that shaped the field's development. Numerous excerpts from the literature, both from the pioneers in the field and its commentators, some given new English translations, pepper the exposition. First, for...
  • №299
  • 53,88 МБ
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SIAM, 1987. — 180 p. Topics include: ways modern statistical procedures can yield estimates of pi more precisely than the original Buffon procedure traditionally used; the question of density and measure for random geometric elements that leave probability and expectation statements invariant under translation and rotation; the number of random line intersections in a plane and...
  • №300
  • 3,26 МБ
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The Great Courses, 2006. — 87 p. In no place is the role of probability clearer than in games of chance; thus, we will introduce some of the basic ideas of probability using cards, dice, and roulette. In fact, it was in the arena of gambling that the mathematical investigation of probability first arose. In the 17th century, a gambler by the name of Antoine Gombault, the Chevalier...
  • №301
  • 645,12 КБ
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Cambridge, Cambridge University, 2007. - 26p. В статье излагается подход к вычислению функций, обратных к функциям распределения случайных величин, состоящий в описании соответствующей функции дифференциальным уравнением и решением его при помощи разложения в ряд. Предложены основанные на этом аппроксимации для нормального распределения, распределения Стьюдента, бета- и...
  • №302
  • 482,27 КБ
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2nd ed. — Cambridge University Press, 2003. — 538 p. — ISBN: 0521534283, 9780521534284, 0521833442, 9780521833448, 9780511078859 This fully revised and updated new edition of the well established textbook affords a clear introduction to the theory of probability. Topics covered include conditional probability, independence, discrete and continuous random variables, generating...
  • №303
  • 2,39 МБ
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N.-Y.: Sebtel Press, 2013. — 174 p. Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of commonsense reasoning. Bayes' rule is derived using intuitive graphical representations of...
  • №304
  • 5,80 МБ
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3rd Edition. — Dover Publications, 2013. — 400 p. — Series: Dover Books on Mathematics ISBN-10: 0486499987 ISBN-13: 978-0486499987 Most mathematical examples illustrate the truth of a statement; conversely, counterexamples demonstrate a statement's falsity if changing the conditions. Mathematicians have always prized counterexamples as intrinsically enjoyable objects of study...
  • №305
  • 44,83 МБ
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3rd Edition. — Mineola: Dover Publications, 2014. — 627 p. Most mathematical examples illustrate the truth of a statement; conversely, counterexamples demonstrate a statement's falsity if changing the conditions. Mathematicians have always prized counterexamples as intrinsically enjoyable objects of study as well as valuable tools for teaching, learning, and research. This...
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  • 19,95 МБ
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Harvard: Harvard University Press, 2013. — 280 p. Tychomancy—meaning “the divination of chances”—presents a set of rules for inferring the physical probabilities of outcomes from the causal or dynamic properties of the systems that produce them. Probabilities revealed by the rules are wide-ranging: they include the probability of getting a 5 on a die roll, the probability...
  • №307
  • 1,19 МБ
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Cambridge University Press, 2000. - 550 pages. This revised edition of Daniel W. Stroock's classic text is suitable for a first-year graduate course on probability theory. By modern standards the topics treated are classical and the techniques used far-ranging: Dr. Stroock does not approach the subject as a monolithic structure resting on a few basic principles. The first part...
  • №308
  • 2,91 МБ
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Cambridge University Press – 2010, 550 pages, 2nd edition ISBN: 0521132509, 0521761581, 9780521132503 This second edition of Daniel W. Stroock's text is suitable for first-year graduate students with a good grasp of introductory, undergraduate probability theory and a sound grounding in analysis. It is intended to provide readers with an introduction to probability theory and...
  • №309
  • 4,69 МБ
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Singapore: World Scientific Publishing Company, 2015. — 284 p. This book is aimed at graduate students and researchers who are interested in the probability limit theory of random matrices and random partitions. It mainly consists of three parts. Part I is a brief review of classical central limit theorems for sums of independent random variables, martingale differences...
  • №310
  • 1,45 МБ
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Springer, 2015. — ISBN: 9781447166986. This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These...
  • №311
  • 8,46 МБ
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Akadémiai Kiadó, Budapest, 1986. — 261 p. — ISBN: 963054151. На сайте выложен перевод на русский язык: /file/1232357/ This book aims to show how this rapidly progressing and widely used branch of knowledge has developed from paradoxes. It tries to show those exciting moments that preceded or followed the solution of some outstanding paradoxical problems which are rarely mentioned...
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  • 2,18 МБ
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Translated from the Russian by Michael Burov. — Moscow: Mir Publishers, 1988. — 200 p. — ISBN 5-03-001124-2 This text is divided into two major parts. The aim of the first part is to convince the reader that the random world begins directly in his or her own living room because, in fact, all modern life is based on probability. The first part is on the concept of probability...
  • №313
  • 22,81 МБ
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Wiley, 2013. — 389 p. — ISBN: 352741083X, 9783527410835. In this comprehensive monograph, the authors apply modern mathematical methods to the study of mechanical and physical phenomena or techniques in acoustics, optics, and electrostatics, where classical mathematical tools fail. They present a general method of approaching problems, pointing out different aspects and...
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New York: Springer, 2018. — 166 p. Contents: Continuous Distributions Introduction Sample Data Statistics Notation Parameter Estimating Methods Transforming Variables Transform Data to (,) Transform Data to (x  ) Continuous Random Variables Continuous Uniform Coefficient of Variation Parameter Estimates Exponential Parameter Estimate Erlang Coefficient-of-Variation Parameter...
  • №315
  • 1,48 МБ
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Gambling Times, 1985. - 161 pages. - ISBN 0897460197 "The Mathematics of Gambling" is quite different from those other books. For instance, it does not focus on just one game like most of the others. In fact, it barely explains a game at all. Instead, it describes the mathematical methods that might be used to win at the game more consistently. Think of this book as a starting...
  • №316
  • 2,97 МБ
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Cambridge University Press, 2012. – 572 p. – 3rd ed. – ISBN: 110765856X, 9781107658561 Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part,...
  • №317
  • 4,67 МБ
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2nd edition. — Cambridge University Press, 2007. — 452 p. — ISBN: 0521701724, 9780521701723. In this fully revised second edition of Understanding Probability, the reader can learn about the world of probability in an informal way. The author demystifies the law of large numbers, betting systems, random walks, the bootstrap, rare events, the central limit theorem, the Bayesian...
  • №318
  • 3,19 МБ
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Dover Publication, 2014. — 288 p. — ISBN: 0486493032 Suitable for a graduate course in analytic probability theory, this text requires no previous knowledge of probability and only a limited background in real analysis. In addition to providing instruction for graduate students in mathematics and mathematical statistics, the book features detailed proofs that offer direct...
  • №319
  • 22,92 МБ
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De Gruyter, 2011. — 367 pages. — ISBN 978-9067643078 — Репринт издания 1999 года This work examines inequalities for characteristic functions and the theory of empirical characteristic function. The first chapter contains basic general results concerning characteristic functions. The second chapter deals with various inequalities for characteristic functions, and in the third...
  • №320
  • 6,88 МБ
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Gruyter, 2013. — 117 p. — ISBN: 3110295911, 9783110295917 e-ISBN 9783110298512 The theory of distributions has numerous applications and is extensively used in mathematics, physics and engineering. There is however relatively little elementary expository literature on distribution theory. This book is intended as an introduction. Starting with the elementary theory of...
  • №321
  • 668,68 КБ
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Philadelphia: American Mathematical Society, 2001. — 178 p. This volume presents topics in probability theory covered during a first-year graduate course given at the Courant Institute of Mathematical Sciences. The necessary background material in measure theory is developed, including the standard topics, such as extension theorem, construction of measures, integration, product...
  • №322
  • 941,04 КБ
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Cambridge: Cambridge University Press, 2012. - 828p. From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is...
  • №323
  • 5,79 МБ
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Cambridge University Press, 2018. — 300 p. — ISBN 978-1-108-41519-4. High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical...
  • №324
  • 4,61 МБ
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Providence, RI, 1992. -72 c., CRM Monograph Series, 1. American Mathematical Society A noncommutative probability approach to free products with applications to random matrices, operator algebras and harmonic analysis on free groups. The book gives an introduction and survey on the field of free random variables, which was initiated by Voiculescu about 30 years ago. The...
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  • 1,27 МБ
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New York: W.H.Freeman, 2015. - 678 p. Unlike most probability textbooks, which are only truly accessible to mathematically-oriented students, Ward and Gundlach’s Introduction to Probability reaches out to a much wider introductory-level audience. Its conversational style, highly visual approach, practical examples, and step-by-step problem solving procedures help all kinds of...
  • №326
  • 6,16 МБ
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New York: Wiley-ISTE, 2016. — 151 p. The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field. Unfortunately, this modeling formalism is not fully accepted in the industry. The questions facing...
  • №327
  • 3,94 МБ
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Cambridge University Press, 1991. — 251 p. Probability theory is nowadays applied in a huge variety of fields including physics, engineering, biology, economics and the social sciences. This book is a modern, lively and rigorous account which has Doob's theory of martingales in discrete time as its main theme. It proves important results such as Kolmogorov's Strong Law of Large...
  • №328
  • 10,19 МБ
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Oxford University Press, 1993. — 224 p. — ISBN: 0-19-507068-2. A counterexample is any example or result that is the opposite of one's intuition or to commonly held beliefs. Counterexamples can have great educational value in illuminating complex topics that are difficult to explain in a rigidly logical, written presentation. For example, ideas in mathematical sciences that...
  • №329
  • 10,93 МБ
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Oxford University Press, 1993. — 224 p. — ISBN: 0-19-507068-2. A counterexample is any example or result that is the opposite of one's intuition or to commonly held beliefs. Counterexamples can have great educational value in illuminating complex topics that are difficult to explain in a rigidly logical, written presentation. For example, ideas in mathematical sciences that might...
  • №330
  • 1,54 МБ
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New York: John Wiley & Sons, 1994. — 574 p. his book presents a broad ranging view of subjective probability. Chapters range from the discussions of the philosophy of axiom systems through to studies in the psychological laboratory and then to the real world of business decision-making. Topics covered include subjective probability in statistical inference and expert systems, the...
  • №331
  • 17,47 МБ
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New York: Academic Press, 1974. — 100 p. The purpose of the present book is to supply the beginnings of a unified approach, based on a single philosophical principle, to the related fields of probability theory and information theory. I have had in mind throughout the special relevance of each to the biological sciences. Nearly half of the book is directly concerned with...
  • №332
  • 7,13 МБ
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3rd ed. — Wiley, 2014. — 513 p. This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first seven chapters contain the core...
  • №333
  • 110,61 МБ
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2nd ed. — Wiley, 2004. — 544 p. — ISBN: 0471272140, 9780471272144 This user-friendly resource will help you grasp the concepts of probability and stochastic processes, so you can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach...
  • №334
  • 3,01 МБ
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Basel: Birkhäuser, 2005. - 122p. In this book invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes are discussed. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, certain time series, etc. Rather than dealing with the processes, the transition...
  • №335
  • 1,05 МБ
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Basel: Birkhäuser, 2005. — 122 p. In this book invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes are discussed. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, certain time series, etc. Rather than dealing with the processes, the transition...
  • №336
  • 994,63 КБ
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World Scientific Publishing Company, 2011. — 440 p. This review volume consists of a set of chapters written by leading scholars, most of them founders of their fields. The volume is intended to explain the phenomenon of Randomness through the use of Computation, and to explore the connections of Randomness to other areas of scientific knowledge, especially its fruitful...
  • №337
  • 16,43 МБ
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New York: Springer, 2016. - 263p. Studies the Markov jump systems for practical applications by considering uncertain, partially known, and time-varying Transition Probabilities Addresses the control issues such as stability analysis, control synthesis, filter design and model reduction of Markov jump systems with the different types of transition probabilities Provides a...
  • №338
  • 6,58 МБ
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New York: Springer, 1996. — 442 p. For many practical problems, observations are not independent. In this book, limit behaviour of an important kind of dependent random variables, the so-called mixing random variables, is studied. Many profound results are given, which cover recent developments in this subject, such as basic properties of mixing variables, powerful probability...
  • №339
  • 3,24 МБ
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Учебно-методическое пособие. Н.Новгород, 2012. - 32 с. Содержание. Случайные события. Частота события. Пространство событий. Вероятностное пространство. Способы вычисления вероятностей. Условная вероятность. Повторные независимые испытания. Формула полной вероятности. Формула Байеса.
  • №340
  • 690,91 КБ
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М.: Наука, 1974. — 264 с. В книге изложены элементы теории вероятностей в том виде, в каком они должны в первую очередь находить применение в астрономии и физике. Предназначение книги требовало удобства использования излагаемого материала для исследований в области астрономии и физики. Книга может быть использована в качестве учебного пособия при чтении курса теории вероятностей...
  • №341
  • 2,42 МБ
  • дата добавления неизвестна
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Учебное пособие для астрономов и физиков. — М.: Наука, 1974. — 264 с.: ил. В книге изложены элементы теории вероятностей в том виде, в каком они должны в первую очередь находить применение в астрономии и физике. Приведено значительное число примеров.
  • №342
  • 1,79 МБ
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Ленинград: Изд-во Ленинград. гос. ун-та, 1973. - 187 с. Данное пособие является расширенным конспектом курса лекций, читаемого студентам факультета радиоэлектроники ЛПИ. Пособие состоит из трех частей: «Основы теории вероятностей», «Основы математической статистики», «Основы теории случайных процессов».
  • №343
  • 2,90 МБ
  • дата добавления неизвестна
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Ленинград: Изд-во Ленинград. гос. ун-та, 1973. — 187 с. Данное пособие является расширенным конспектом курса лекций, читаемого студентам факультета радиоэлектроники ЛПИ. Пособие состоит из трех частей: «Основы теории вероятностей», «Основы математической статистики», «Основы теории случайных процессов».
  • №344
  • 5,30 МБ
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Эти лекции читались автором на вечернем отделении МГТУ «МАМИ» на протяжении нескольких лет. Они включают всю программу для второго курса вечернего отделения. Курс лекций состоит из 7 лекций.
  • №345
  • 1,34 МБ
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М.: Знание, 1983. — 192 с. — (Наука и прогресс). Энергоэнтропика — универсальный метод исследования различных явлений с помощью энергоэнтропийиых балансов. В книге рассказано о важнейших понятиях и законах энергоэнтропики, рассмотрены возможности, принципы и результаты примене­ния её в теории информации, в кибернетике, в биологии, в теории трудовых процессов, при изучении...
  • №346
  • 4,04 МБ
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М.: Прогресс, 1967. — 367 с. В предлагаемый вниманию читателей сборник статей под общим названием «Закон, необходимость, вероятность» включены шесть различных по объему статей польских авторов, занимающихся указанными проблемами.
  • №347
  • 3,12 МБ
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М.: Прогресс, 1967. — 367 с. В предлагаемый вниманию читателей сборник статей под общим названием «Закон, необходимость, вероятность» включены шесть различных по объему статей польских авторов, занимающихся указанными проблемами.
  • №348
  • 6,26 МБ
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Учебное пособие. — Волгоград, 2010. — 116 с. Рассматриваются основные вопросы теории случайных величин. Приводятся различные примеры случайных величин, способы их задания, числовые характеристики; даны законы распределения одной и двух случайных величин. Пособие снабжено примерами решения типовых задач, а также вариантами для самостоятельной работы студентов. Оглавление...
  • №349
  • 1,41 МБ
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Учебное пособие. — Майкоп: Изд-во АГУ, 2012. — 92 с. Учебное пособие, охватывающее 16 практических занятий по теории вероятностей, является результатом многолетнего опыта преподавания автором курса теории вероятностей на факультете математики и компьютерных наук Адыгейского госуниверситета. К каждому занятию вначале приводится справочный материал, используемый при решении задач...
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Учеб. пособие. – 2-е изд., перераб. и доп. – Нижнекамск : Нижнекамский химико-технолог. институт, филиал КНИТУ, 2011. – 260 с. Содержит основные понятия и теоремы теории вероятностей: комбинаторика; случайные события и их вероятности; случайные величины и их важнейшие законы распределения; числовые характеристики; закон больших чисел и центральная предельная теорема. Изложение...
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Учебное пособие для студентов факультета бизнес-информатики. — Новосибирск: СГУПС, 2010. — 42с. Содержание. Случайные события. Введение. Комбинаторика. Классическая вероятность. Сложение вероятностей. Умножение вероятностей (общий случай). Умножение вероятностей (независимые события). Формула полной вероятности. Формула Бейеса. Формула Бернулли. Задачи для повторения....
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Учебное пособие. — М.: Владос, 2007. — 350 с. — ISBN 978-5-691-01525-0. В пособии изложены основные идеи теории вероятностей, математической статистики, энтропии и информации. Каждая глава содержит перечень опорных понятий, теорем, умений, навыков, методов и алгоритмов. В начале параграфов даются краткие теоретические сведения, содержание которых раскрывается вопросами для...
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Москва 2001 В данной книге излагается математическая дисциплина — теория вероятностей, которая является теоретическим фундаментом математической статистики. После рассмотрения классических вероятностных схем вводится понятие вероятностного пространства на основе аксиоматики Колмогорова. Затем изучаются случайные величины и их числовые характеристики. Новым по сравнению с...
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Учебное пособие. Национальный исследовательский томский политехнический университет. – Томск. Изд-во Томского политехнического университета, 2009. – 131 с. Пособие содержит решение типовых задач по основным разделам теории вероятностей. Каждый раздел содержит краткое теоретическое введение, решение типовых задач, задачи для самостоятельного решения и вопросы для самопроверки....
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Уфа: Изд-во УГНТУ, 1995. — 119 с. — ISBN 5-230-18982-7 Излагается курс лекций, читаемых авторами в УГНТУ для студентов различных специальностей. Книга состоит из двух частей. Первая часть содержит собственно лекции по основным разделам теории вероятностей, изучаемым в технических университетах. Вторая часть представляет собой практикум по теории вероятностей, который может быть...
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М.: Университет дружбы народов, 1990 - 229 с. В основу пособия положен двухсеместровый курс лекций по "Теории вероятностей", читаемый автором студентам-математикам факультета УДН. Дается физическая интерпретация, приводится много примеров и рисунков. В тексте приводятся такие упражнения, служащие как для углубления и расширения теоретического материала, так и для самоконтроля...
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Учеб. пособие. — Новосибирск: Изд-во НГТУ, 2017. — 176 с. Цель настоящей работы – связать строгое математическое изложение элементов теории вероятностей с практическими задачами и помочь студентам овладеть прикладными методами теории вероятностей. Пособие может быть полезным всем студентам, изучающим теорию вероятностей.
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Харьков: ХНАГХ, 2008. – 68 с. Конспект лекций по курсу «Математика для экономистов: Теория вероятностей и математическая статистика» /для студентов 2 курса дневной формы обучения бакалавров направления 6.030504 – «Экономика предприятий», 6.030509 – «Учет и аудит» /. Сост.: А.В. Белогурова.
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Учебно-методическое пособие для студентов факультета математики, экономики и информатики. — Балашов: СГУ, 2012. — 32 с. Учебно-методическое пособие преподавателя кафедры математики Балашовского института Саратовского государственного университета Белокобыльского Александра Сергеевича предназначено для студентов факультета математики, экономики и информатики направления...
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