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Математическая статистика

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New York: Springer, 2008. - 540p. Time-to-event data are ubiquitous in fields such as medicine, biology, demography, sociology, economics and reliability theory. Recently, a need to analyze more complex event histories has emerged. Examples are individuals that move among several states, frailty that makes some units fail before others, internal time-dependent covariates, and...
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Hoboken: CRC Press, 2013. — 241 p. List of Figures List of Tables Preface Introduction Point Estimation Confidence Intervals, Bounds, and Regions Hypothesis Testing Asymptotic Analysis Bayesian Inference Elements of Statistical Decision Theory Linear Models Probabilistic Review Solutions of Selected Exercises Bibliography Index Back Cover
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Sage Publications, 1982. — 88 p. — ISBN: 0803919158, 9780803919150. Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond the...
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New York: Springer, 2016. — 296 p. This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based...
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Imperial College Press, 2004. — 260 pages ISBN: 1860944639, 9781860944635 This book contains written versions of papers presented at a two-day symposium in March 2004 in honour of Professor John Nelder, FRS. John Nelder is one of today's leading statisticians, having had a fundamental impact on a variety of areas of data analysis. The papers here have been seselected to...
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Oxford University Press, 1997. — 208 p. — (Oxford Statistical Science Series, Book 18). — ISBN-13 978-0198523963; ISBN-10 0198523963. The book is about the use of nonparametric smoothing tools in practical data analysis problems. There already exist a number of books in this general area, and these give excellent descriptions of the theoretical ideas, and include good...
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2nd Edition. — Springer International Publishing AG, 2017. — 481 p. — ISBN-10: 3319475770 This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this...
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Springer, 2013. — 455 p. Монография посвящена анализу выбросов в статистических данных и используемому для этого математическому аппарату. Включает разделы "Введение", "Вероятностные и статистические модели обнаружения выбросов", "Линейные модели обнаружения выбросов", "Обнаружение выбросов, использующие меры близости", "Многомерное обнаружение выбросов - метод подпространств",...
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New York: Springer, 2017. — 288 p. This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well...
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New York: Springer. 2016. — 204 p. This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12–16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of...
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Springer, 2017. — 317 p. — ISBN 9811027706. This proceedings volume consists of refereed papers presented at the Second International Conference on Computing, Mathematics and Statistics (iCMS 2015) held in Langkawi, Malaysia in November 2015. Divided into three sections - Computer Science, Mathematics and Statistics - the book includes both quantitative and qualitative research...
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Atlantis Press, 2016. — 141 p. — (Atlantis Studies in Probability and Statistics 8). — ISBN: 9462392218, 9789462392212, 9789462392229 The aim of the book is to give a through account of the basic theory of extreme value distributions. The book cover a wide range of materials available to date. The central ideas and results of extreme value distributions are presented. The book...
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Springer, 2013. — 250 p. — ISBN 9789491216831 — (Atlantis Studies in Probability and Statistics, Vol. 3). This book presents the theory of order statistics in a way, such that beginners can get easily acquainted with the very basis of the theory without having to work through heavily involved techniques. At the same time more experienced readers can check their level of...
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Edinburgh: Oliver & Boyd, 1947. — 160 p. The Oliver and Boyd series of mathematical texts were widely used by students throughout the 1940s to 1960s. They were sold at a price that students could afford and tended to cover the right amount of material for a lecture coure. One of the books in the series was Statistical Mathematics by A C Aitken. "The concern of the present book...
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Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 116). — Chapman & Hall/CRC, 2010. — 238 p. — ISBN: 1420093436, 978-1420093438. Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with...
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New York: Springer, 2017. — 133 p. This book presents new findings on nonregular statistical estimation. Unlike other books on this topic, its major emphasis is on helping readers understand the meaning and implications of both regularity and irregularity through a certain family of distributions. In particular, it focuses on a truncated exponential family of distributions with a...
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N.-Y.: Springer, 2014. — 367 p. This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI and other organizations. M.G. Akritas, S.N....
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Elsevier, 2003. — 470 p. — ISBN 9780444513786, 0444513787. The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable...
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Academic Press, 1972. — 195 p. For the past ten years, my professional interests have focused on various aspects of regression. It has been my experience that the pseudoinverse is a great unifying concept. It has helped me to understand, remember, and explain many classical results in statistical theory as well as to discover (and rediscover) some new ones. This book was conceived...
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Academic Press, 1972. — 195 p. For the past ten years, my professional interests have focused on various aspects of regression. It has been my experience that the pseudoinverse is a great unifying concept. It has helped me to understand, remember, and explain many classical results in statistical theory as well as to discover (and rediscover) some new ones. This book was conceived...
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Boston: MIT Press, 2003. — 211 p. This monograph addresses the problem of "real-time" curve fitting in the presence of noise, from the computational and statistical viewpoints. It examines the problem of nonlinear regression, where observations are made on a time series whose mean-value function is known except for a vector parameter. In contrast to the traditional formulation,...
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New York: Springer, 2016. — 306 p. This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including...
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Springer, 2018. — 277 p. — (Series in the Data Sciences). — ISBN 3319941526. This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the likelihood function, penalized likelihood and score functions to not only derive well-known tests but to also go beyond and make...
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New York: Springer, 1995. — 187 p. In the last decade, graphical models have become increasingly popular as a statistical tool. This book is the first which provides an account of graphical models for multivariate complex normal distributions. Beginning with an introduction to the multivariate complex normal distribution, the authors develop the marginal and conditional...
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N.-Y.: Springer, 1993. - 784p. Modern survival analysis and more general event history analysis may be effectively handled in the mathematical framework of counting processes, stochastic integration, martingale central limit theory and product integration. This book presents this theory, which has been the subject of an intense research activity during the past one-and-a- half...
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3rd ed. — Wiley, 2003. — 739 p. — ISBN: 0471360910, 9780471360919 Perfected over three editions and more than forty years, this field- and classroom-tested reference: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. Treats all the basic and important topics in multivariate statistics. Adds two new chapters,...
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3rd Edition. — John Wiley & Sons, Inc., 2003. — 721 p. — (Wiley Series in Probability and Mathematical Statistics.) This book has been designed primarily as a text for a two-semester course in multivariate statistics. The book will also serve as an introduction to many topics in this area to statisticians who are not students and will be used as a reference by other...
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Andrews D., Bickel P., Hampel F., Rogers W., Tukey J., Huber P. — Princeton: Princeton University Press, 2015. — 384 p. Because estimation involves inferring information about an unknown quantity on the basis of available data, the selection of an estimator is influenced by its ability to perform well under the conditions that are assumed to underlie the data. Since these...
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Oxford: Oxford University Press, 2000. — 86 p. Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new methods of analysis that previously would have been too difficult or time-consuming. Up till now these developments have been primarily in numerical computation and graphical display, but equal...
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Springer, 2017. — 214 p. AMISTAT, Prague, November 2015. This volume collects authoritative contributions on analytical methods and mathematical statistics. The methods presented include resampling techniques; the minimization of divergence; estimation theory and regression, eventually under shape or other constraints or long memory; and iterative approximations when the optimal...
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Springer, 2018. — 90 p. This book deals with problems related to the evaluation of customer satisfaction in very different contexts and ways. Often satisfaction about a product or service is investigated through suitable surveys which try to capture the satisfaction about several partial aspects which characterize the perceived quality of that product or service. This book...
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Academic Press, 2017. — 911 p. — ISBN: 978-0-12-811848-1. This book offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on...
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Birkhäuser, 2008. — 368 p. — ISBN: 0817646256, 9780817646257 Enrique Castillo is a leading figure in several mathematical and engineering fields. Organized to honor Castillo’s significant contributions, this volume is an outgrowth of the "International Conference on Mathematical and Statistical Modeling," and covers recent advances in the field. Applications to safety,...
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New York: Springer, 1989. — 182 p. Bounds on moments of order statistics have been of interest since Sir Francis Galton (1902) flrst addressed the problem of fairly dividing flrst and second prize money in a competition. The present compendium of results represents our effort to sort the plethora of results into some semblance of order. Contents : Front Matter The Distribution of...
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SIAM, 2008. — 303 p. — ISBN: 0898716489, 978089871648 Written in a simple style that requires no advanced mathematical or statistical background, A First Course in Order Statistics introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discrete populations, moment...
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Authors: Francis R. Bach, Michael I. Jordan. Pusblished in Journal of Machine Learning Research 4 (2003), pp. 1205-1233. Year: 2003. Format: PDF. Abstract: We present a generalization of independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we look for a transform that makes the data components well...
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Society for Industrial and Applied Mathematics; American Statistical Association, 2004. — 281 p. — ISBN: 0898715660, 9780898715668 +OCR, оглавление Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of...
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Society for Industrial and Applied Mathematics; American Statistical Association, 2004. — 281 p. — ISBN: 0898715660, 9780898715668 Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with...
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Philadelphia: SIAM, 1987. - 51p. A discussion of some topics in the theory of large deviations such as moment-generating functions and Chernoff's theorem, and of aspects of estimation and testing in large samples, such as exact slopes of test statistics.
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Birkhauser, 2006. — 514 p. The purpose of this book is to honor the fundamental contributions to many different areas of statistics made by Barry Arnold. Distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to...
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New York: Academic Press, 1991. — 384 p. The literature on order statistics and inferenc eis quite extensive and covers a large number of fields ,but most of it is dispersed throughout numerous publications. This volume is the consolidtion of the most important results and places an emphasis on estimation. Both theoretical and computational procedures are presented to meet the...
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Boston: Birkhauser, 2004. — 438 p. Сборник работ, включающих широкий спектр вопросов математической статистики и её приложений, и представляющих собой доклады на конференции, посвящённой юбилею научной деятельности индийского статистика S. Panchapakesan. Среди разделов сборника: "Статистическое оценивание", "Ранжирование и отбор", "Множественные сравнения и тесты", "Проверка...
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Wiley-Interscience, 2003. — 328 p. This book is specifically tailored to the introductory course on statistical distributions, this unmatched resource takes a more balanced, all-inclusive approach than similar texts. In page after page, you’ll find a valuable review of often-overlooked distributions, including geometric, negative binomial, hypergeometric, Pareto, beta, gamma,...
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Elsevier, 2001. — 861 p. The area of Reliability has become a very important and active area of research. This is clearly evident from the large body of literature that has been developed in the form of books, volumes and research papers since 1988 when the previous Handbook of Statistics on this area was prepared by P.R. Krishnaiah and C.R. Rao. This is the reason we felt that...
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Elsevier, 2004. — 789 p. The book covers all important topics in the area of Survival Analysis. Each topic has been covered by one or more chapters written by internationally renowned experts. Each chapter provides a comprehensive and up-to-date review of the topic. Several new illustrative examples have been used to demonstrate the methodologies developed. The book also includes...
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Elsevier, 1998. — 733 p. The area of Order Statistics received a tremendous attention from numerous researchers during the past century. During this period, several major theoretical advances were made in this area of research. As a matter of fact, two of those have been adjudged as breakthroughs in the field of Statistics [see: Kotz, S. and Johnson, N. L. (1991). Breakthroughs in...
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Elsevier, 1998. — 733 p. The area of Order Statistics received a tremendous attention from numerous researchers during the past century. During this period, several major theoretical advances were made in this area of research. As a matter of fact, two of those have been adjudged as breakthroughs in the field of Statistics [see: Kotz, S. and Johnson, N. L. (1991). Breakthroughs in...
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Elsevier, 1998. — 752 p. The area of Order Statistics received a tremendous attention from numerous researchers during the past century. During this period, several major theoretical advances were made in this area of research. As a matter of fact, two of those have been adjudged as breakthroughs in the field of Statistics [see: Kotz, S. and Johnson, N. L. (1991). Breakthroughs in...
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Elsevier, 1998. — 752 p. The area of Order Statistics received a tremendous attention from numerous researchers during the past century. During this period, several major theoretical advances were made in this area of research. As a matter of fact, two of those have been adjudged as breakthroughs in the field of Statistics [see: Kotz, S. and Johnson, N. L. (1991). Breakthroughs in...
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N.-Y.: CRC Press, 2014. — 580 p. Matrices, Vectors, and Their Operations Basic definitions and notations Matrix addition and scalar-matrix multiplication Matrix multiplication Partitioned matrices The "trace" of a square matrix Some special matrices Systems of Linear Equations Introduction Gaussian elimination Gauss-Jordan elimination Elementary matrices Homogeneous linear...
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Springer, 2011. — 290 p. — ISBN: 3642162177 This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving...
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New York: MDPI, 2017. — 474 p. The “calculation of probabilities” began four years after the death of Rene Descartes, in 1654, in a correspondence between Blaise Pascal and Pierre Fermat. They exchanged letters on elementary problems of gambling, in this case a problem of dice and a problem of “parties”. Pascal and Fermat were particularly interested by this problem and succeeded...
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New York: Springer, 1995. — 235 p. Introduction Asymptotic Theory for the Generalized Bootstrap of Statistical Differentiable Functionals How to Choose the Weights Special Forms of the Bootstrap Proofs of Results of Chapter I Proofs of Results of Chapter II Proofs of Results of Chapter III
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Chichester: Wiley, 2014. — 236 p. A Note from the Author Preface Contents Introduction Lods Functions ad Inferential Separation Likelihood and Plausibility Sample-Hypothesis Duality and Lods Functions Logic of Inferential Separation. Ancillarity and Sufficiency Convex Analysis, Unimodality, and Laplace Transforms Convex Analysis Log-concavity and...
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Wiley, 2014. — 236 p. — (Wiley series in probability and mathematical statistics - tracts). — ISBN 111885750X. First published by Wiley in 1978, this book is being re-issued with a new Preface by the author. The roots of the book lie in the writings of RA Fisher both as concerns results and the general stance to statistical science, and this stance was the determining factor in...
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New York: Springer, 1989. — 262 p. Content: Front Matter Preliminary notions Some basic limiting procedures Asymptotic expansions Edgeworth and allied expansions Miscellany on multivariate distributions Multivariate asymptotic expansions Expansions for conditional distributions Postscript Back Matter
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New York: Springer, 1994. — 369 p. Content: Front Matter Preliminaries Some general concepts First-order theory Higher-order theory: preliminaries and motivations Some tools of higher-order theory Higher-order theory: Likelihood combinants Higher-order theory: some further results and tools Various notions of pseudo-likelihood and higher-order theory Further aspects Back Matter
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New York: Springer, 2013. — 86 p. ​The classical statistical problem typically involves a probability distribution which depends on a number of unknown parameters. The form of the distribution may be known, partially or completely, and inferences have to be made on the basis of a sample of observations drawn from the distribution; often, but not necessarily, a random sample....
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Taylor & Francis Group, LLC. — 2011. — 429 p. — ISBN: 1420099655 In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is literally huge....
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Springer, 2018. — 131 p. This concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective. While many degree programs require a course in parametric statistics, these methods are often inadequate for real-world decision making in business environments. Much of the data collected today by business...
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Wiley, 2004. — 514 p. — ISBN: 0471976474, 978-0471976479. Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data analysis techniques have been introduced; and new application areas have been explored. Statistics of Extremes comprehensively covers a wide range of models and application areas,...
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New York: Wiley, 2004. - 314p. Provides practicing statisticians and econometricians with new tools for assessing quality and reliability of regression estimates. Diagnostic techniques are developed that aid in the systematic location of data points that are unusual or inordinately influential, and measure the presence and intensity of collinear relations among the regression...
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Utrecht: VSP, 2000. — 305 p. Contents Foreword Preface Notation Asymptotic Test Theory First-order asymptotic theory Second order efficiency On efficiency of first and second order Power loss Efficiency and deficiency Deficiency results for the symmetry problems Asymptotic Expansions under Alternatives Introduction A formal rule General Theorem Proof of General Theorem L-, R-, and...
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Berlin: Springer, 2015. - 297 p. This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis...
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Springer, 2005. — 438 p. — ISBN: 1402022778, 9781402022777 Unique in that it collects, presents, and synthesizes cutting edge research on different aspects of statistical reasoning and applies this research to the teaching of statistics to students at all educational levels, this volume will prove of great value to mathematics and statistics education researchers, statistics...
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New York: Springer, 2016. - 334p. This book presents the breadth and diversity of empirical and practical work done on statistics education around the world. A wide range of methods are used to respond to the research questions that form it's base. Case studies of single students or teachers aimed at understanding reasoning processes, large-scale experimental studies attempting...
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N.-Y: CRC Press, 1994. - 326p. Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and applications for data with long-range dependence. Presenting material that previously appeared only in journals, the author provides a concise and effective overview of probabilistic foundations, statistical methods, and applications. The material...
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New York: Springer, 2014. — 535 p. The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical...
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New York: Springer, 2018. — 661 p. This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or...
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New York: Springer, 2016. — 634 p. This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size....
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Springer, 2018. — 388 p. — (Springer Proceedings in Mathematics & Statistics 250). — ISBN 978-3-319-96940-4. This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on June 11-16, 2016. It...
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Cambridge: Cambridge University Press, 2012. — 252 p. This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new...
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Academy Press, 2016. — 544 p. — ISBN: 0128024402, 9780128024409 Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear models, and...
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N.-Y.: SIAM, 2010. — 339 p. — ISBN: 978-0-898718-97-3. Although Normal Approximation and Asymptotic Expansions was first published in 1976, it has gained new significance and renewed interest among statisticians due to the developments of modern statistical techniques such as the bootstrap, the efficacy of which can be ascertained by asymptotic expansions. This also is the...
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Second Edition. — CRC Press, 2015. — 572 p. The book presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition gives careful proofs of major results and explains how the theory sheds light on the properties of practical...
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Second Edition. — CRC Press, 2016. — 479 p. The book presents important statistical concepts, methods, and tools not covered in the authors’ previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures introduced in the first volume from a more sophisticated point of view but also addresses new problems...
  • №76
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Prentice Hall, 2001. — 679 Pages. This classic, time-honored introduction to the theory and practice of statistics modeling and inference reflects the changing focus of contemporary Statistics. Coverage begins with the more general nonparametric point of view and then looks at parametric models as submodels of the nonparametric ones which can be described smoothly by Euclidean...
  • №77
  • 30,19 МБ
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Prentice Hall, 2001. - 679 Pages. This classic, time-honored introduction to the theory and practice of statistics modeling and inference reflects the changing focus of contemporary Statistics. Coverage begins with the more general nonparametric point of view and then looks at parametric models as submodels of the nonparametric ones which can be described smoothly by Euclidean...
  • №78
  • 17,63 МБ
  • дата добавления неизвестна
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New York: Springer, 1993. — 582 p. This book is about estimation in situations where we believe we have enough knowledge to model some features of the data parametrically, but are unwilling to assume anything for other features. Such models have arisen in a wide variety of contexts in recent years, particularly in economics, epidemiology, and astronomy. The complicated structure...
  • №79
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Amsterdam University, 2018. — 384 p. — ISBN 9462985103. The field of statistics focuses on drawing conclusions from data by modeling and analyzing the data using probabilistic models. The authors of this introductory text describe three key concepts from statistics—estimators, tests, and confidence regions—which they demonstrate and apply in an extensive variety of examples and...
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  • 8,80 МБ
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Amsterdam University, 2018. — 384 p. — ISBN 9462985103. The field of statistics focuses on drawing conclusions from data by modeling and analyzing the data using probabilistic models. The authors of this introductory text describe three key concepts from statistics—estimators, tests, and confidence regions—which they demonstrate and apply in an extensive variety of examples and...
  • №81
  • 3,98 МБ
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New York: Springer-Verlag, 1999. — 288 p. — ISBN: 0-387-98739-8. Contents: Linear algebra. Random vectors. Gamma, Dirichlet, and F distributions. nvariance. Multivariate normal. Multivariate sampling. Wishart distributions. Tests on mean and variance. Multivariate regression. Principal components. Canonical correlations. Asymptotic expansions. Robustness....
  • №82
  • 1,66 МБ
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N.-Y., John Wiley & Sons, 1993. - 239p. Книга посвящена методам построения регрессионных моделей, отличным от метода наименьших квадратов. Рассмотрены метод наименьших модулей, М-регрессия (робастный метод оценивания), байесовское оценивание, ридж-регрессия, непараметрические оценки и другие. Предназначена для студентов, аспирантов и разработчиков, ищущих методы оценивания...
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Statistics in Medicine, vol. 15, 1107-1121 (1996) Статья посвящена разрешению возникающего при множественном сравнении трудности. Применение обычных статистических критериев к каждому сравнению по отдельности порождает ложные отвержения нуль-гипотезы, а борьба с этим эффектом при помощи поправок Бонферрони и т.п. приводит, напротив, к принятию нуль-гипотезы даже при наличии...
  • №84
  • 835,38 КБ
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NY: Wiley, 2013. — 292 p. Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Classical and modern statistical methods...
  • №85
  • 4,54 МБ
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New York, Wiley-Interscience, 1989, 514 pages A comprehensive introduction to the general structure equation systems--commonly known as the LISREL model--used for quantitative research in the social sciences. Unified approach presents path analysis, recursive and nonrecursive models, classical econometrics, and confirmatory factor analysis as special cases of a general model. Also...
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  • 249,70 МБ
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2nd edition. — New York: Springer, 2018. — 125 p. This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps...
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Adams Media, 2018. — 240 р. — (Adams 101). — ISBN 978-1507208175. A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From...
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  • 20,35 МБ
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CRC Press, 1999. — 592 p. A wide-ranging, extensive overview of modern mathematical statistics, this work reflects the current state of the field while being succinct and easy to grasp. The mathematical presentation is coherent and rigorous throughout. The author presents classical results and methods that form the basis of modern statistics, and examines the foundations of...
  • №89
  • 4,11 МБ
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CRC Press, 1999. — 592 p. A wide-ranging, extensive overview of modern mathematical statistics, this work reflects the current state of the field while being succinct and easy to grasp. The mathematical presentation is coherent and rigorous throughout. The author presents classical results and methods that form the basis of modern statistics, and examines the foundations of...
  • №90
  • 3,39 МБ
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Singapore: Springer, 2018. — 181 p. This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on...
  • №91
  • 3,05 МБ
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New York: O'Reilly, 2008. — 478 p. Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing...
  • №92
  • 4,47 МБ
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Wiley-ISTE, 2012. — 304 p. — ISBN: 1848213611, 9781848213616 Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This second case is very important for...
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  • 2,62 МБ
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N.-Y.: Wiley-Interscience, 2007. — 327 p. This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or parameters belong to a large or infinite dimensional space. It develops the theory of statistical prediction, non-parametric estimation by adaptive projection – with applications to tests of fit...
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  • 2,42 МБ
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Oxford, Oxford University Press, 1997. - 205p. Монография посвящена применению метода ядерного сглаживания к оцениванию плотности распределения, построению непараметрической регрессии и другим задачам анализа данных. Для научных работников в области математической статистики и разработчиков алгоритмов статистики.
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  • 2,04 МБ
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Second Edition. — N.-Y.: Wiley, 2007. — 874 p. — ISBN: 978-0-470-05357-7. The authority on building empirical models and the fitting of such surfaces to data-completely updated and revised. Revising and updating a volume that represents the essential source on building empirical models, George Box and Norman Draper — renowned authorities in this field-continue to set the standard...
  • №96
  • 9,27 МБ
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Berlin: Springer, 1971. - 191p. In the course of one's research, the expediency of meeting contractual and other externally imposed deadlines too often seems to take priority over what may be more significant research findings in the longer run. Such is the case with this volume which, despite our best intentions, has been put aside time and again since 1971 in favor of what...
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Cambridge: CUP, 2007. - 248p. In fields such as biology, medical sciences, sociology, and economics researchers often face the situation where the number of available observations, or the amount of available information, is sufficiently small that approximations based on the normal distribution may be unreliable. Theoretical work over the last quarter-century has led to new...
  • №98
  • 2,66 МБ
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Boca Raton: CRC Press, 1984. — 366 p. The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods....
  • №99
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Springer, 1988. — 220 p. This work is essentially an extensive revision of my Ph.D. dissertation, [1]. It is primarily a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis; consequently, we have...
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  • 1,31 МБ
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2nd edition. — New York: Springer, 2017. — 574 p. Since its inception in 1974, the level crossing approach for analyzing a large class of stochastic models has become increasingly popular among researchers. This volume traces the evolution of level crossing theory for obtaining probability distributions of state variables and demonstrates solution methods in a variety of...
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  • 5,48 МБ
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Elsevier, 1983. — 476 p. This volume of the Handbook is concerned particularly with the frequency side, or spectrum, approach to time series analysis. This approach involves essential use of sinusoids and bands of (angular) frequency, with Fourier transforms playing an important role. A principal activity is thinking of systems, their inputs, outputs, and behavior in sinusoidal...
  • №102
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David Brink & Ventus Publications ApS, 2010. - 58 pages. ISBN: 8776814090 After reading the theory book about Statistics it is time to test your knowledge to make sure that you are well prepared for your exam. Contents Preface Problems for Chapter 2: Basic concepts of probability theory Problems for Chapter 3: Random variables Problems for Chapter 4: Expected value and...
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  • 2,09 МБ
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2nd ed. — Wiley, 1967. — 607 p. — ISBN 9780471113553, 0471113557. The main objective is to develop competence and self-confidence in the use of statistical methods, which require some understanding of the theoretical background and some practice in the application of statistical methods to actual data.
  • №104
  • 25,52 МБ
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New York: Springer, 2004. — 162 p. This monograph introduces elementary fuzzy statistics based on crisp (non-fuzzy) data. In the introductory chapters the book presents a very readable survey of fuzzy sets including fuzzy arithmetic and fuzzy functions. The book develops fuzzy estimation and demonstrates the construction of fuzzy estimators for various important and special cases...
  • №105
  • 2,16 МБ
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Boston: The MIT Press, 1967. — 266 p. There are many textbooks which describe current methods of statistical analysis, while neglecting related theory. There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an...
  • №106
  • 27,22 МБ
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Dover Publications, 1979. — 259 p. — (Dover Books on Mathematics). — ISBN: 0486637603, 9780486637600 There are many textbooks which describe current methods of statistical analysis, while neglecting related theory. There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two...
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  • 17,02 МБ
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N.-Y.: CRC Press, 1992. - 207p. Summarizes information scattered in the technical literature on a subject too new to be included in most textbooks, but which is of interest to statisticians, and those who use statistics in science and education, at an advanced undergraduate or higher level.
  • №108
  • 4,85 МБ
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New York: Springer-Verlag, 2002. — 488 pp. Second Edition We wrote this book to introduce graduate students and research workers in various scientific disciplines to the use of information-theoretic approaches in the analysis of empirical data. These methods allow the data-based selection of a best model and a ranking and weighting of the remaining models in a pre-defined set....
  • №109
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Sociological Methods & Research, Vol. 33, No. 2, November 2004 261- 304. Colorado Cooperative Fish and Wildlife Research Unit (USGS-BRD). 44 pp. The model selection literature has been generally poor at reflecting the deep foundations of the Akaike information criterion (AIC) and at making appropriate comparisons to the Bayesian information criterion (BIC). There is a clear...
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  • 223,55 КБ
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2nd ISNPS, Cádiz, June 2014. — New York: Springer, 2016. — 224 p. This volume collects selected, peer-reviewed contributions from the 2nd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Cádiz (Spain) between June 11–16 2014, and sponsored by the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli...
  • №111
  • 4,45 МБ
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N.-Y.: Springer, 2015. - 285p. The book, belonging to the series Studies in Theoretical and Applied Statistics– Selected Papers from the Statistical Societies, presents a peer-reviewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables. Methods, Models and Applications",...
  • №112
  • 10,67 МБ
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Springer Science+Business Media, 1988. — 264 p. — ISBN: 978-0-412-01421-5. This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness. The authors have developed statistical techniques-such as formal fitting methods and less formal graphical techniques- that can be applied to many...
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  • 5,13 МБ
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2nd edition. — Cengage Learning, 2001. — 660 pages. This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended...
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  • 23,98 МБ
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2nd ed. — Duxbury Press, 2001. — 686 p. — ISBN 0534243126. This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts....
  • №115
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Beachwood: Institute of Mathematical Statistics, 2007. — 265 p. Contents: Preface Curriculum Vitae of Piet Groeneboom List of publications of Piet Groeneboom List of Contributors A Kiefer–Wolfowitz theorem for convex densities Model selection for Poisson processes Scale space consistency of piecewise constant least squares estimators – another look at the regressogram Confidence...
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  • 3,85 МБ
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New York: Chapman and Hall/CRC, 2018. — 249 p. — (Monographs on Statistics & Applied Probability, 160). — ISBN 978-1498763011. Kernel smoothing has greatly evolved since its inception to become an essential methodology in the Data Science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the...
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World Scientific Publishing Company, 2009. - 412 Pages. This festschrift is dedicated to Professor Howell Tong on the occasion of his 65th birthday. With a Foreword written by Professor Peter Whittle, FRS, it celebrates Tong's path-breaking and tireless contributions to nonlinear time series analysis, chaos and statistics, by reprinting 10 selected papers by him and his...
  • №118
  • 39,46 МБ
  • дата добавления неизвестна
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Springer International Publishing AG, 2018. — 57 p. — (IIW Collection) — ISBN 978-3-319-62658-1. The quantification of the performances of a Non-Destructive Technique (NDT) is essential to guarantee the safety of critical industrial components. Two main indicators are commonly used: • Reliability: the ability of the technique to detect defects under realistic conditions of...
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  • 1,96 МБ
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Hoboken: Wiley, 2015. — 496 p. This book provides the theoretical framework needed to build, analyze and interpret various statistical models. It helps readers choose the correct model, distinguish among various choices that best captures the data, or solve the problem at hand. This is an introductory textbook on probability and statistics. The authors explain theoretical...
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Wiley, 1995. — 324 p. Designed to engage students in the ``how'' and ``why'' of the data analyzing process rather than merely the ``what.'' Uses actual examples of analyses of real data. Each case is motivated by a question which needs to be answered and is presented with complete background material. The statistical analysis flows naturally from the question, encouraging students...
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  • 9,70 МБ
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Springer, 2017. — 382 p. This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In...
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Boca Raton: CRC Press, Chapman & Hall, 2014. - 302p. Multivariate Bonferroni-Type Inequalities: Theory and Applications presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade. The emergence of new bounding approaches pushes the conventional definitions of optimal inequalities and demands new insights into...
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  • 1,55 МБ
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Philadelphia: Sage Publications, Inc, 2002. — 105 p. — ISBN 9780761922285, 0761922288. Correlations, in general, and the Pearson product-moment correlation in particular, can be used for many research purposes, ranging from describing a relationship between two variables as a descriptive statistic to examining a relationship between two variables in a population as an inferential...
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  • 4,77 МБ
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Boca Raton, CRC Press, 2011. - 279 p. Книга посвящена вопросу рисования геометрических контуров (линий и окружностей) по наблюдаемым точкам (в частности, при обработке изображений). Работа включает в себя следующие главы: исторический обзор, проведение прямых, проведение окружностей (основные принципы), проведение окружностей (по критерию минимизации расстояний от точек до...
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N.-Y.: Wiley, 2015. — 408 p. Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on...
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  • 2,15 МБ
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New York: Springer, 2008. - 372 p. Contents: Coefficients of Variations in Analysis of Macro-policy Effects: An Example of Two-Parameter Poisson-Dirichlet Distributions How Many Experiments Are Needed to Adapt? A Mutual Information Based Distance for Multivariate Gaussian Processes Differential Forms and Dynamical Systems An Algebraic Framework for Bayes Nets of Time...
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  • 4,19 МБ
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Springer, 2 ed. 2001 - 398 p. - This is the second edition of Linear Models for Multivariate, Time Series and Spatial Data. It has a new title to indicate that it contains much new material. The primary changes are the addition of two new chapters: one on nonparametric regression and one on response surface maximization. As before, the presentations focus on the linear model...
  • №128
  • 8,01 МБ
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Wiley, 2018. — 229 p. — ISBN 978-1-118-66937-2. A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems,...
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  • 3,17 МБ
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Wiley, 2008. — 272 p. — ISBN: 0470025662, 9780470025666. An insightful approach to the analysis of variance in the study of linear models. Linear Models explores the theory of linear models and the dynamic relationships that these models have with Analysis of Variance (ANOVA), experimental design, and random and mixed-model effects. This one-of-a-kind book emphasizes an approach...
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  • 8,36 МБ
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Marcel Dekker, 1991. — 328 p. Introduction. Singly truncated and singly censored samples from the normal distribution. Multirestricted samples from the normal distribution. Linear estimations. Truncated and censored samples from the Weibull distribution. Truncated and censored samples from the lognormal distribution. Truncated and censored samples from the inverse...
  • №131
  • 22,87 МБ
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Springer, 1st edition, 2001. - 224 pages. Directly oriented towards real practical application, this book develops both the basic theoretical framework of extreme value models and the statistical inferential techniques for using these models in practice. Intended for statisticians and non-statisticians alike, the theoretical treatment is elementary, with heuristics often...
  • №132
  • 11,38 МБ
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Second Edition. — Hoboken: CRC Press, 2002. — 397 p. Preface to the second edition Preface to the first edition Introduction Statistical inference for binary data Models for binary and binomial data Bioassay and some other applications Model checking Overdispersion Modelling data from epidemiological studies Mixed models for binary data Exact Methods Some additional...
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  • 26,11 МБ
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Hoboken: Wiley, 1999. — 598 p. This highly-regarded text serves as a quick reference book which offers clear, concise instructions on how and when to use the most popular nonparametric procedures. This edition features some procedures that have withstood the test of time and are now used by many practitioners, such as the Fisher Exact Test for two-by-two contingency tables, the...
  • №134
  • 9,14 МБ
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Wiley, 1998. – 349 p. — ISBN: 0-471-19365-8. An exploration of regression graphics through computer graphics. Recent developments in computer technology have stimulated new and exciting uses for graphics in statistical analyses. Regression Graphics , one of the first graduate-level textbooks on the subject, demonstrates how statisticians, both theoretical and applied, can use...
  • №135
  • 8,14 МБ
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Chapman & Hall, 1982. — 230 p. Diagnostic methods using residuals; Assessment of influence; Alternative approaches to influence; Assessment of influence in other problems.
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2nd Edition. — Armidale: Tilde University Press, 2014. — 614 p. Illustrating Statistical Procedures: Finding Meaning in Quantitative Data, Second Edition , expands and extends the content and approaches taken in the first edition and provides a comprehensive set of descriptions for various statistical procedures as they are applied in the conduct of behavioural and social science...
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  • 10,77 МБ
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Berlin: Springer, 2014. — 113 p. This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators. The underlying idea behind both groups of corrections is to obtain higher accuracy in small samples. While the main focus is on corrections that can be analytically derived, the authors also present...
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  • 1,80 МБ
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Wiley, 2014. — 288 p. — 2nd ed. — ISBN: 1118840313, 9781118840313 This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS®...
  • №139
  • 9,71 МБ
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Princeton University Press, 1999. — 575 p. — ISBN: 0691005478, 9780691005478 In this classic of statistical mathematical theory, Harald Cramér joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability...
  • №140
  • 34,78 МБ
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Monograph. — Asia Publishing House, 1962. — 590 p. Mathematical Introduction General properties of sets Linear point sets Point sets in n dimensions The Lebesgue measure of a linear point set The Lebesgue integral for functions of one variable Non-negative additive set functions in R1 The Lebesgue-Stieltjes integral for functions of one variable Lebesgue measure and other additive...
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  • 14,78 МБ
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Asis Publishing House, 1962. — 590 p. Mathematical Introduction General properties of sets Linear point sets Point sets in n dimensions The Lebesgue measure of a linear point set The Lebesgue integral for functions of one variable Non-negative additive set functions in R1 The Lebesgue-Stieltjes integral for functions of one variable Lebesgue measure and other additive set...
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Boca Raton, USA: CRC Press, Taylor & Francis Group, 2018. — 257 p. — (Monographs on Statistics and Applied Probability 157). — ISBN 1138630152. Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for...
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John Wiley & Sons, 2005. — 333 p. Statistics: An Introduction Using R offers a concise introduction to statistical methods, stressing the graphical investigation of data, and features step-by-step instructions to help the non-statistician to understand fully the methodology. The computing is done in R, the freeware version of S-Plus, which is globally recognised as one of the...
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New York: Springer, 2019. — 131 p. This book is devoted to Corrado Gini, father of the Italian statistical school. It celebrates the 50th anniversary of his death by bearing witness to the continuing extraordinary scientific relevance of his interdisciplinary interests. The book comprises a selection of the papers presented at the conference of the Italian Statistical Society,...
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Routledge, 2012. — 535 p. — ISBN: 041587968X, 0415879671 This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA...
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London: Routledge, 2016. — 594 p. This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of...
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Wiley, 2009. – 404 p. – 2nd ed. – ISBN: 0470694483, 0470694491, 9780470694480 This book is a completely revised and updated version of this invaluable text which allows science students to extend necessary skills and techniques, with the topics being developed through examples in science which are easily understood by students from a range of disciplines. The introductory...
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Berlin: Springer, 2015. - 91p. This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human preferences to infer user preferences; the use of weighted correlation with microarray data and those in the...
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  • 1,87 МБ
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Cambridge University Press, 2009. — 548 p. ISBN: 978-0521884389, e-ISBN: 978-0511507281. This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design,...
  • №150
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Springer, 2015. — 661 p. This book discusses equi-quantile values and their use in generating decision alternatives under the twofold complexities of uncertainty and dependence, offering scope for surrogating between two alternative portfolios when they are correlated. The book begins with a discussion on components of rationality and learning models as indispensable concepts in...
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New Delhi: Springer, 2015. - 221p. This book primarily addresses the optimality aspects of covariate designs. A covariate model is a combination of ANOVA and regression models. Optimal estimation of the parameters of the model using a suitable choice of designs is of great importance; as such choices allow experimenters to extract maximum information for the unknown model...
  • №152
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N.-Y.: Chapman and Hall/CRC, 2014. - 336p. Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and Positive Data Analyses presents RRS...
  • №153
  • 9,91 МБ
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3rd edition. — Wiley, 2003. — 475 p. — 3rd ed. — ISBN: 0471389269, 9780471389262. A completely revised and expanded edition of a classic resource. In the over twenty years since the publication of the Second Edition of Order Statistics, the theories and applications of this dynamic field have changed markedly. Meeting the challenges and demands of today’s students and research...
  • №154
  • 4,66 МБ
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N.-Y.: CRC Press, 2014. - 304p. The First Detailed Account of Statistical Analysis That Treats Models as Approximations The idea of truth plays a role in both Bayesian and frequentist statistics. The Bayesian concept of coherence is based on the fact that two different models or parameter values cannot both be true. Frequentist statistics is formulated as the problem of...
  • №155
  • 11,19 МБ
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Cambridge University Press, 2008. — 738 p. Models and likelihood are the backbone of modern statistics and data analysis. The coverage is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood...
  • №156
  • 5,05 МБ
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Cambridge University Press, 1997. — 594 p. — ISBN: 0521574714, 978-0521574716. This book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models;...
  • №157
  • 12,72 МБ
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McGraw-Hill Book Company. 2004. — 253 p. — ISBN: 047168029X. Statistical decision theory and methods of Bayesian statistical inference have been both intensively and extensively developed during the past twenty years. A unified theory has been constructed during this period, and the concepts and methods have been widely applied to problems in the areas of engineering and...
  • №158
  • 5,49 МБ
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Birkhäuser, 2002. — 378 p. — ISBN: 978-1461266112, e-ISBN: 978-1461200994. Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful for studying asymptotic properties of parametric as well as non-parametric statistical procedures. Recently, the need to model the dependence...
  • №159
  • 40,16 МБ
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Published by John Wiley & Sons, Inc., Hobokcn, New Jersey. 2004. — 726 pages. ISBN: 0471601616. A rigorous, self-contained examination of mixed model theory and application. Mixed modeling is one of the most promising and exciting areas of statistical analysis, enabling the analysis of nontraditional, clustered data that may come in the form of shapes or images. This book...
  • №160
  • 7,12 МБ
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Wiley, 1985. — 620 p. The planning of surveys; The various errors of a survey; Some elementary theory for design; Some variances in random sampling; Multistage sampling, Ratio-estimates, and choice of sampling unit; Allocation in stratified sampling; Distinntion between enumerative and analytic studies; Control of the risks in acceptance sampling; Some theory for analysis and...
  • №161
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New York: Springer, 2003. — 465 p. Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of...
  • №162
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Springer, 1985. — 204 p. Three basic types of statistics are treated in this book : Hoeffding's U-statistics, differentiable statistical functionals and statistics based on ranks. Although the emphasis lies on the asymptotic distribution theory for these statistics I intended to give some motivation from two viewpoints. The examples cover more than is needed for illustrations and...
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  • 6,38 МБ
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World Scientific Publishing, 2018. — 275 p. — ISBN 978-981-4663-57-1. The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc. Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again that...
  • №164
  • 3,83 МБ
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2nd edition, corrected 2018 publication. — New York: Springer, 2018. — 854 p. — ISBN 978-1-4614-0390-6. Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis,...
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  • 12,49 МБ
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Thompson, 2006. - 848 pages. Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without emphasizing contemporary statistical practice. "Modern Mathematical Statistics with Applications" strikes a balance between mathematical foundations and statistical practice. Accomplished authors Jay Devore and...
  • №166
  • 5,44 МБ
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2nd ed. — Springer, 2011. — 857 p. — (Springer Texts in Statistics). — ISBN 1461403901, 9781461403906. Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without much attention paid to how statistics is actually used. In contrast, Modern Mathematical Statistics with Applications, Second Edition...
  • №167
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Heidelberg: Springer, 2014. — 180 p. ISBN 978-3-642-45182-9 The Problem of Simultaneous Inference Some Theory of p-values Classes of Multiple Test Procedures Simultaneous Test Procedures Stepwise Rejective Multiple Tests Multiple Testing and Binary Classification Multiple Testing and Model Selection Software Solutions for Multiple Hypotheses Testing Genetic Association...
  • №168
  • 2,92 МБ
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OpenIntro, Inc., 2015. — 354 p. — ISBN: N\A Diez D.M., Barr Cr.D., Cetinkaya-Rundel M., Dorazio L. Introduction to data Foundation for inference Inference for categorical data Inference for numerical data Introduction to linear regression Multiple and logistic regression A Probability B End of chapter exercise solutions C Distribution tables
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OpenIntro, Inc., 2015. — 458 p. Data collection Summarizing data Probability Distributions of random variables Foundation for inference Inference for categorical data Inference for numerical data Introduction to linear regression End of chapter exercise solutions Distribution tables
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  • 9,92 МБ
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New York: Springer, 2012. — 616 p. With this concise volume we hope to satisfy the needs of a large scientific community previously served mainly by huge encyclopedic references. Rather than aiming at a comprehensive coverage of our subject, we have concentrated on the most important topics, but explained those as deeply as space has allowed. The result is a compact work which we...
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Basel: Birkhauser, 2008. — 177 p. How does an algebraic geometer studying secant varieties further the understanding of hypothesis tests in statistics? Why would a statistician working on factor analysis raise open problems about determinantal varieties? Connections of this type are at the heart of the new field of "algebraic statistics". In this field, mathematicians and...
  • №172
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Wiley, 2015. — 416 p. A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia This volume celebrates Kanti V. Mardia′s long and influential career in statistics. A common theme unifying much of Mardia s work is the importance of geometry in statistics, and to...
  • №173
  • 17,43 МБ
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N.-Y.: Wiley, 1998. - 403p. Statistical Shape Analysis involves methods for the geometrical study of random objects where location, rotation and scale information can be removed. The book lays the foundations of the subject discussing key ideas and the very latest developments, as well as offering practical guidance and comparisons of techniques. There is a vast range of...
  • №174
  • 4,21 МБ
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B.: Springer, 1997. - 385p. The recent development of computation and automation has lead to quick advances in the theory and practice of recursive methods for stabilization, identification and control of complex stochastic models (guiding a rocket or a plane, orgainizing multiaccess broadcast channels, self-learning of neural networks .). This book provides a wide-angle view...
  • №175
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Second Edition. — Lawrence Erlbaum Associates, 2006. Peprinted by Psychology Press, Taylor & Francis Group, 2011. — 272 p. — ISBN: 0805855475. This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of...
  • №176
  • 12,28 МБ
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Springer, 2018. — 222 p. — (Advanced Courses in Mathematics CRM Barcelona). — ISBN 978-3-319-92239-3. This book provides a systematic survey of classical and recent results on hyperbolic cross approximation. Motivated by numerous applications, the last two decades have seen great success in studying multivariate approximation. Multivariate problems have proven to be considerably...
  • №177
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2016. — 378 p. Preface. Visualizing Process Data . Data visualization in context. References and readings. Time-series plots. Bar plots. Box plots. Relational graphs: scatter plots. Tables as a form of data visualization. Topics of aesthetics and style. General summary: revealing complex data graphically. Exercises. Univariate Data Analysis . Univariate data analysis in context....
  • №178
  • 22,07 МБ
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Boston: The MIT Press, 1992. - 287p. There is currently no viable alternative to the Bayesian analysis of scientific inference, yet the available versions of Bayesianism fail to do justice to several aspects of the testing and confirmation of scientific hypotheses. Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging...
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  • 1,94 МБ
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Fourth Edition. — Hoboken: CRC Press, 2007. — 364 p. Statistical Tests that Do Not Require Random Sampling Randomized Experiments Calculating P-Values Between-Subjects Designs Factorial Designs Repeated-Measures and Randomized Block Designs Multivariate Designs Correlation Trend Tests Matching and Proximity Experiments N-of-1 Designs Tests of Quantitative Laws...
  • №180
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Routledge, 2012. — 297 p. This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent researchers in the field. Topics covered involve a range of LVM frameworks including item response theory, structural equation modeling, factor analysis, and latent curve modeling, as well as various non-standard data...
  • №181
  • 1,90 МБ
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Cambridge: Cambridge University Press, 2010. — 277 p. We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical...
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Cambridge: Cambridge University Press, 2016. — 495 p. The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we...
  • №183
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N.-Y.: Springer, 2009. - 580p. Монография посвящена оцениванию параметрических и непараметрических регрессионных моделей (сплайновых, ядерных оценок, полиномиальных и др.) на основе подхода максимального правдоподобия с использованием штрафных функций. Она является вторым томом, в первом изложены основы этого подхода (оглавление первого тома также приведено), в третьем...
  • №184
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Springer, 2010. — 429 p. — ISBN 9781441959034. Multiple Criteria Decision Analysis (MCDA) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDA is now being applied in many new areas, including GIS systems, AI, and group decision making....
  • №185
  • 3,79 МБ
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Hoboken: Wiley, 2014. - 275 p. This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observationsEmphasizes the development of linear statistical models with applications to...
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Cambridge University Press, 2009. — 224 p. — ISBN: 0521093368, 9780521093361 Sir William Elderton's Frequency Curves and Correlation was first published in 1906 and subsequently three new editions were published. It has long enjoyed popularity as a source of clear descriptions of the practical use of Pearson and also Gram-Charlie systems of frequency curves. Professor Johnson...
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  • 4,86 МБ
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N.-Y.: Chapman & Hall/CRC, 2015. 250p. A Sound Basis for the Theory of Statistical Inference. Measuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical evidence allows you to answer the basic...
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  • 3,26 МБ
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Cambridge: Cambridge University Press, 2010. - 480 p. If you work with data and need easy access to clear, reliable definitions and explanations of modern statistical and statistics-related concepts, then look no further than this dictionary. Nearly 4000 terms are defined, covering medical, survey, theoretical and applied statistics, including computational and graphical aspects....
  • №189
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New York: Wiley, 1963, - 562p. Классическая книга по регрессионному анализу. Для современного читателя основной интерес могут представлять графические методы и приёмы. Из обзора 1959 года: "Thirty years have elapsed since the original edition of this book was written--years of political tensions and upheaval and of enormous progress in technical development. This last has...
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  • 7,79 МБ
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Academic Press, 1967. - 396 pages. The theory of games is a part of the rich mathematical legacy left by John von Neumann, one of the outstanding mathematicians of our era. Although others — notably Emil Borel — preceded him in formulating a theory of games, it was von Neumann who with the publication in 1927 of a proof of the minimax theorem for finite games laid the...
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Springer, 1983. — 124 p. About forty years ago, Richard von Mises proposed a theory for the analysis of the asymptotic behavior of nonlinear statistical functionals based on the differentiability properties of these functionals. His theory was largely neglected until the late 1960's when it experienced a renaissance due to developments in the field of robust statistics. In...
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  • 1,50 МБ
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Los Angeles: SAGE, 2016. — 769 p. An Adventure in Statistics: The Reality Enigma by best-selling author and award-winning teacher Andy Field offers a better way to learn statistics. It combines rock-solid statistics coverage with compelling visual story-telling to address the conceptual difficulties that students learning statistics for the first time often encounter in...
  • №193
  • 15,54 МБ
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New York: Academic Press, 1978. — 192 p. Fixed Effects Analysis of Variance covers the mathematical theory of the fixed effects analysis of variance. The book discusses the theoretical ideas and some applications of the analysis of variance. The text then describes topics such as the t-test; two-sample t-test; the k-sample comparison of means (one-way analysis of variance); the...
  • №194
  • 8,27 МБ
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Oliver and Boyd, 1956. — 175 p. An explicit statement of the logical nature of statistical reasoning that has been implicitly required in the development and use of statistical techniques in the making of uncertain inferences and in the design of experiments. Included is a consideration of the concept of mathematical probability; a comparison of fiducial and confidence intervals;...
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  • 3,11 МБ
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N.-Y.: CRC Press, 2014. — 600 p. Introduction and preliminaries Developments of methods and critique of ad hoc methods Introduction and overview Perspective and historical overview Bayesian methods Joint modeling of longitudinal and time-to-event data Introduction and overview Missing data methods: a semi-parametric perspective Double-robust methods...
  • №196
  • 10,85 МБ
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N.-Y.: Chapman & Hall/CRC, 2014. - 600p. Contents : Introduction and preliminaries Developments of methods and critique of ad hoc methods Introduction and overview Perspective and historical overview Bayesian methods Joint modeling of longitudinal and time-to-event data Introduction and overview Missing data methods: a semi-parametric perspective...
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  • 5,29 МБ
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Berlin: Springer, 2018. — 112 p. This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology, econometrics, meteorology and pharmacology. The book presents an overview of the...
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Springer, 1983. — 215 p. During the last decades, the evolution of theoretical statistics has been marked by a considerable expansion of the number of mathematically and computationaly tractable models. Faced with this inflation, applied statisticians feel more and more uncomfortable: they are often hesitant about their traditional (typically parametric) assumptions. such as...
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  • 12,12 МБ
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Springer, 1997. — 715 p. — ISBN: 9781475727654. My goal in writing this book has been to provide teachers and students of multivariate statistics with a unified treatment of both theoretical and practical aspects of this fascinating area. The text is designed for a broad readership, including advanced undergraduate students and graduate students in statistics, graduate students...
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4th ed. — Wiley, 2011. — 227 p. — ISBN: 9780470390634. A new edition of the trusted guide on commonly used statistical distributions Fully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various disciplines. The book...
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4th ed. — Wiley, 2011. — 231 p. Справочник по статистическим распределениям, в котором изложены сведения по 41 широко применяемому в теории вероятностей, статистике и приложениях распределению, а также рассмотрены методы оценивания и моделирования их. Также приведены сведения о многомерных распределениях. Для изучающих теорию вероятностей и математическую статистику....
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N.-Y.: Sage Publications Ltd, 2003. - 193p. The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced...
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  • 909,81 КБ
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4th ed. – W.W. Norton & Company, 2007. – 715 p. – ISBN: 0393930432, 0393929728, 9780393929720 Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to illustrate the techniques. The Fourth Edition has been carefully revised and updated to reflect current data. About the Author David Freedman received his...
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Лучший учебник по статистике. Это pdf с распознанным текстом (возможен поиск) и размером 15 мб ( в отличие от 130 мб версии с нераспознанным текстом) W.W. Norton & Company, 2007. – 4th ed. – 715 p. – ISBN: 0393930432, 0393929728, 9780393929720 Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to...
  • №205
  • 14,99 МБ
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New York: Springer, 2016. — 313 p. This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014. The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situations, with particular reference to genomic...
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Boca Raton: CRC Press, 2016. - 184p. Content: Introduction Parallel models Partial models Nonparallel models Testing the parallel regression assumption Extensions.
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N.-Y.: Wiley, 1987. - 622p. A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. The three major categories of statistical models that relate dependent variables to explanatory variables are covered: univariate regression models, multivariate regression models, and simultaneous equations...
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New York: Springer, 2016. — 209 p. This thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC cost function in order to achieve a desirable sparse actuation. It features an ℓ1-regularised least squares loss function, in which the control error variance competes with the sum of input channels magnitude (or slew rate) over the whole horizon...
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  • 6,71 МБ
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Chapman & Hall/CRC, 2014. — 363 p. This book originated from the lecture notes of a course in Statistical Inference taught at the M.Sc. programs in Statistics at UFRJ and IMPA (once). These have been used since 1987. During this period, various modi cations have been introduced until we arrived at this version, judged as minimally presentable. The motivation to prepare this...
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Amsterdam: Springer, 2008. — 406 p. Increased attention is being paid to the need for statistically educated citizens: statistics is now included in the K-12 mathematics curriculum, increasing numbers of students are taking courses in high school, and introductory statistics courses are required in college. However, increasing the amount of instruction is not sufficient to prepare...
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Glenn Drive: Statistical Associates Publishing, 2012. — 52 p. Discriminant function analysis, also known as discriminant analysis or simply DA, is used to classify cases into the values of a categorical dependent, usually a dichotomy. If discriminant function analysis is effective for a set of data, the classification table of correct and incorrect estimates will yield a high...
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Springer, 2018. — 158 p. — (Springer Monographs in Mathematics). — ISBN-10 3319962612. The purpose of these notes is to highlight the far-reaching connections between Information Theory and Statistics. Universal coding and adaptive compression are indeed closely related to statistical inference concerning processes and using maximum likelihood or Bayesian methods. The book is...
  • №213
  • 1,98 МБ
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John Wiley & Sons, 2006. — 192 p. — ISBN: 0471667269, 978-0471667261. This publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of...
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  • 1,24 МБ
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3rd edition. — New York: Chapman and Hall/CRC, 2014. — 656 p. Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods....
  • №215
  • 6,63 МБ
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Springer, 2004. — 1078 pages. The Handbook of Computational Statistics - Concepts and Methods ist divided into 4 parts. It begins with an overview of the field of Computational Statistics, how it emerged as a seperate discipline, how it developed along the development of hard- and software, including a discussionof current active research. The second part presents several topics...
  • №216
  • 39,48 МБ
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Springer, 2004. — 1078 pages. The Handbook of Computational Statistics - Concepts and Methods ist divided into 4 parts. It begins with an overview of the field of Computational Statistics, how it emerged as a seperate discipline, how it developed along the development of hard- and software, including a discussionof current active research. The second part presents several topics...
  • №217
  • 33,86 МБ
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Springer, 2004. — 1078 pages. The Handbook of Computational Statistics - Concepts and Methods ist divided into 4 parts. It begins with an overview of the field of Computational Statistics, how it emerged as a seperate discipline, how it developed along the development of hard- and software, including a discussionof current active research. The second part presents several topics...
  • №218
  • 10,12 МБ
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George Mason University, 2013. — 917 p. This document is directed toward students for whom the theory of statistics is or will become an important part of their lives. Obviously, such students should be able to work through the details of "hard" proofs and derivations; that is, students should master the fundamentals of mathematical statistics. In addition, students at this level...
  • №219
  • 6,12 МБ
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Springer, 1988. — 110 p. Much of the traditional approach to linear model analysis is bound up in complex matrix expressions revolving about the usual generalized inverse. Motivated by this important role of the generalized inverse. the research summarized here began as an interest in understanding. in geometric terms. the four conditions defining the qnique Moore-Penrose...
  • №220
  • 4,90 МБ
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Cambridge University Press, 2017. — 670 p. — ISBN 978-0-521-87826-5. Explosive growth in computing power has made Bayesian methods for infinite-dimensional models - Bayesian nonparametrics - a nearly universal framework for inference, finding practical use in numerous subject areas. Written by leading researchers, this authoritative text draws on theoretical advances of the past...
  • №221
  • 9,67 МБ
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Fourth Edition, Revised and Expanded. — Marcel Dekker, 2003. — 646 p. — ISBN: 0-8247-4052-1. Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences....
  • №222
  • 4,70 МБ
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5th Edition. — Hoboken: CRC Press, 2010. — 652 p. — e-ISBN: 978-1-4200-7762-9. In the fifth edition of this book, we are going to digress from tradition and write a new preface that will replace all earlier prefaces. Specifically, for the fifth edition, we have: Entirely revised the textual material on at least 50% of the topics covered in the fourth edition to make it more...
  • №223
  • 3,44 МБ
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Cambridge University Press, 2009. — 448 p. — ISBN: 0521896193, 9780521896191. This up-to-date account of algebraic statistics and information geometry explores the emerging connections between the two disciplines, demonstrating how they can be used in design of experiments and how they benefit our understanding of statistical models, in particular, exponential models. This book...
  • №224
  • 3,53 МБ
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Hoboken: Wiley, 1990. — 294 p. Presents a system of multivariate analysis techniques in cases where statistical data may be of different measurement levels such as nominal, ordinal or interval. It covers methods of studying the stability of these techniques, including resampling by the bootstrap and jackknife and discusses sensitivity analysis through first-order approximations....
  • №225
  • 16,81 МБ
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Cambridge University Press, 2016. — 690 p. In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory...
  • №226
  • 4,26 МБ
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Cambridge: Cambridge University Press, 2016. — 704 p. — ISBN: 978-1-107-04316-9. In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a...
  • №227
  • 5,55 МБ
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N.-Y.: Chapman and Hall/CRC. 2014. — 270 p. Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for...
  • №228
  • 3,98 МБ
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World Scientific, 1997. – 176 p. – ISBN: 9810218753, 9789810218751 In statistical analysis with large numbers of variables, the invariance approach is becoming increasingly popular and useful because of its ability and usefulness to derive better statistical procedures. In this book, multivariate statistical inference is presented through invariance. Contents: Group...
  • №229
  • 17,80 МБ
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Second Edition. — N.-Y.: Wiley, 2013. — 496 p. — ISBN: 978-0-470-53331-4. This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: Optimization; Integration and Simulation; Bootstrapping; Density Estimation and Smoothing. Within these sections, each...
  • №230
  • 5,95 МБ
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2nd ed. — Wiley, 1997. — 370 p. — ISBN 0471161195, 9780471161196. A practical guide for multivariate statistical techniques- now updated and revised In recent years, innovations in computer technology and statistical methodologies have dramatically altered the landscape of multivariate data analysis. This new edition of Methods for Statistical Data Analysis of Multivariate...
  • №231
  • 5,11 МБ
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Wiley, 2010. — 384 p. — 4th Ed. — ISBN: 0470748656, 9780470748657. Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these...
  • №232
  • 3,19 МБ
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4th ed. — John Wiley & Sons, 2011. — 358 p. In the mid-1980s, a number of researchers began to see how to introduce systematic. approaches to the statistical modelling and analysis of hierarchically structured data. The early work of Aitkin et al. (1981) on the teaching styles’ data and Aitkin’s subsequent work with Longford (1987) initiated a series of developments that by...
  • №233
  • 3,60 МБ
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Boston: The MIT Press, 1965. — 119 p. The problem of how to estimate probabilities has interested philosophers, statisticians, actuaries, and mathematicians for a long time. It is currently of interest for automatic recognition, medical diagnosis, and artificial intelligence in general. This monograph reviews existing methods, including those that are new or have not been written...
  • №234
  • 2,18 МБ
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Boca Raton: Chapman & Hall/CRC, 1999. — 248 p. The Second Edition of Classification incorporates many of the new and powerful methodologies developed since its first edition. Like its pre decessor, this edition describes both clustering and graphical methods of representing data, and offers advice on how to decide which method s of analysis best apply to a particular data set. It...
  • №235
  • 8,82 МБ
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World Scientific Publishing Co. Pte. Ltd., 2007. — 692 p. — ISBN: 981270034X. This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area. With the exception of some sections requiring familiarity with measure theory, readers with an...
  • №236
  • 3,67 МБ
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Singapore: World Scientific, 2004. - 335p. This book contains topics that can be covered in a single-semester course. Only elementary proofs are provided, and thus the mathematics and statistics are maintained at a basic level. Only a course in each of three areas -- advanced calculus, probability and statistical inference -- is assumed of the student. The book has a chapter on...
  • №237
  • 1,84 МБ
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Walter de Gruyter, 2006. — 752 p. — ISBN: 3110162164, 978-3110162165. This monograph offers a thorough treatment of methods for solving over- and underdetermined systems of equations. The considered problems can be non-linear or linear, and deterministic models as well as statistical effects are discussed. Considered methods include, e.g., minimum norm and least squares...
  • №238
  • 4,78 МБ
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The Open University in association with Paul Chapman Publishing, 2006. — 288 p. — ISBN: 1412911672, 1412911664, 9781412911665, 9781412911672 'This book should prove to be an important addition to the relatively few publications that exist on statistical thinking. It very nicely encourages the reader to take an active learning approach through simultaneously promoting pedagogy...
  • №239
  • 3,87 МБ
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McGraw-Hill, 1961. – 463 p. This is a well-organized and clearly written text on multiple linear regression including its application to design of experiments, analysis of variance, and the estimation of components of variance. The prerequisites for the student are an introduction to mathematical statistics at about the level of Mood and a good course in matrices. A limitation...
  • №240
  • 35,29 МБ
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Cambridge University Press, 2010. — 382 p. — ISBN: 978-0-521-19420-4, e-ISBN: 978-0-511-77021-0. It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards...
  • №241
  • 1,99 МБ
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New York: Springer, 1997. — 403 p. Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of...
  • №242
  • 28,63 МБ
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Wydanic czwarte uzupełnione. — Warszawa: Państwowe Wydawnictwo Naukowe, 1974. — 364 s. Statystyka matematyczna znajduje zastosowanie prawie we wszystkich gałęziach wiedzy. Autor dostarcza studentom oraz praktykom, możliwie pełnego zbioru gotowych zadań dotyczących wnioskowania statystycznego. Estymacja przedziałowa parametrów Parametryczne testy istotności Nieparametryczne...
  • №243
  • 31,30 МБ
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ORеilly Меdiа, 2009. - 717 pages. This book will help you pass your statistics course, and give you a firm understanding of the subject so you can apply the knowledge throughout your life.Whether you're a student, a professional, or just curious about statistical analysis, Head First's brain-friendly formula helps you get a firm grasp of statistics so you can understand key...
  • №244
  • 22,80 МБ
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N.-Y.: marcel Dekker, 1998. - 654p. Монография посвящена применению смещённых статистических оценок (Джеймса-Стейна, ридж-регрессии и других) в регрессионном анализе. Обсуждаются парадокс Стейна (смещённая оценка может иметь меньшую среднеквадратическую ошибку, чем несмещённая), теоретические и практические аспекты ридж-регрессионных оценок и сравнение их с усечёнными оценками...
  • №245
  • 3,74 МБ
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Imperial College Press, 2014. — 232 p. — ISBN: 1783264683, 9781783264681 This book provides a comprehensive foundation in Probabilistic Normed (PN) Spaces for anyone conducting research in this field of mathematics and statistics. It is the first to fully discuss the developments and the open problems of this highly relevant topic, introduced by A N Serstnev in the early 1960s...
  • №246
  • 1,53 МБ
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N.-Y.: SAGE Publications, Inc, 2009. - 392p. Propensity Score Analysis provides readers with a systematic review of the origins, history, and statistical foundations of PSA and illustrates how it can be used for solving evaluation problems. With a strong focus on practical applications, the authors explore various types of data and evaluation problems related to, strategies for...
  • №247
  • 13,94 МБ
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2nd Edition. — Sage Publications, Inc., 2015. — 486 p. — (Advanced Quantitative Techniques in the Social Sciences 11). — ISBN 978-1-4522-3500-4. Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysisprovides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis,...
  • №248
  • 15,50 МБ
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N.-Y.: Chapman and Hall/CRC, 2015. - 184p. Many observational studies in epidemiology and other disciplines face inherent limitations in study design and data quality, such as selection bias, unobserved variables, and poorly measured variables. Accessible to statisticians and researchers from various disciplines, this book presents an overview of Bayesian inference in partially...
  • №249
  • 3,10 МБ
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Springer, 2002. — 656 p. Монография посвящена разработке и применению методов непараметрической регрессии. Рассмотрены оценки типа ядерных, через ортогональные ряды, метод К средних, а также методы, основанные на модификациях метода наименьших квадратов. Обсуждается проверка качества модели кросс-валидацией и другие подходы, рекурсивные оценки, оценивание цензурированных данных и...
  • №250
  • 5,55 МБ
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Springer Nature Singapore Pte Ltd., 2017. — 288 p. — (Statistics for Biology and Health) — ISBN 9811065551. This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions. The...
  • №251
  • 4,45 МБ
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Springer Nature Singapore Pte Ltd., 2017. — 288 p. – (Statistics for Biology and Health) — ISBN 9811065551. This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions. The...
  • №252
  • 4,15 МБ
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Springer, 2017. — 355 p. — ISBN 978-3-319-60299-8. This book presents the theory and practical applications of the Master equation approach, which provides a powerful general framework for model building in a variety of disciplines. The aim of the book is to not only highlight different mathematical solution methods, but also reveal their potential by means of practical examples....
  • №253
  • 8,60 МБ
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Cambridge: Cambridge University Press, 2016. — 228 p. One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians....
  • №254
  • 2,45 МБ
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L.: Routledge, 2016. - 663 p. More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today’s research. Ideal for courses on multivariate statistics/analysis/design, advanced statistics or quantitative techniques taught in psychology, education, sociology, and business, the book also appeals to researchers with no...
  • №255
  • 55,08 МБ
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New York: Taylor&Francis Group, 2012. - 840p. This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key...
  • №256
  • 34,39 МБ
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Academic Press, 1999. — 435 p. The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using...
  • №257
  • 14,69 МБ
  • дата добавления неизвестна
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Oxford: Oxford University Press, 2005. — 400 p. This book has become one of the main statistical tools for the analysis of economic and financial data. Designed for both theoreticians and practitioners, this book provides a comprehensive treatment of G.M.M. estimation and inference. All the main statistical results are discussed intuitively and proved formally, and all the...
  • №258
  • 2,72 МБ
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New York: Springer, 1992. — 359 p. This monograph addresses two quite different topics, in the belief that each can shed light on the other. Firstly, it lays the foundation for a particular view of the bootstrap. Secondly, it gives an account of Edgeworth expansion. Chapter 1 is about the bootstrap, witih almost no mention of Edgeworth expansion; Chapter 2 is about Edgeworth...
  • №259
  • 8,14 МБ
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N.-Y.: Springer, 2015. — 326 p. This Festschrift in honour of Paul Deheuvels’ 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems. The book brings together contributions from invited international experts to provide an up-to-date survey of the field. Written in textbook...
  • №260
  • 3,15 МБ
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John Wiley & Sons, Inc., 1986. — 526 p. — (Probability and Statistics). — ISBN 0-471-73577-9. Statistics is the art and science of extracting useful information from empirical data. An effective way for conveying the information is to use parametric stochastic models. After some models had been used for more than two centuries, R. A. Fisher multiplied the number of useful models...
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  • 9,47 МБ
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Oxford: Oxford University Press, 2008. — 144 p. Statistical ideas and methods underlie just about every aspect of modern life. Sometimes the role of statistics is obvious, but often the statistical ideas and tools are hidden in the background. In either case, because of the ubiquity of statistical ideas, it is clearly extremely useful to have some understanding of them. The aim of...
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  • 3,90 МБ
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Elsevier, 1985. — 482 p. In this volume prominent workers in the field discuss various time series methods in the time domain. The topics included are autoregressive-moving average models, control, estimation, identification, model selection, non-linear time series, non-stationary time series, prediction, robustness, sampling designs, signal attenuation, and speech recognition....
  • №263
  • 22,27 МБ
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Chapman & Hall/CRC, 2003. - 218 pages. Although powerful and flexible, the method of generalized linear models (GLM) is limited in its ability to accurately deal with longitudinal and clustered data. Developed specifically to accommodate these data types, the method of Generalized Estimating Equations (GEE) extends the GLM algorithm to accommodate the correlated data...
  • №264
  • 1,11 МБ
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New York: Springer Science+Business Media, 2007, 368 p. The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part...
  • №265
  • 4,89 МБ
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2nd edition. — Heidelberg: Springer, 2015. — 388 p. — ISBN: 3642360041. The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations....
  • №266
  • 7,03 МБ
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Physica, 2000. - 213 pages. ISBN: 3790813001 In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing in statistics. Many methods and techniques have been proposed and studied. This monograph hopes to bring an up-to-date presentation of the state of the art of partially linear regression techniques. The...
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  • 11,54 МБ
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Version: 29th April 2003. — 488 pages. Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the...
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  • 5,15 МБ
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Version: 29th April 2003. — 488 pages. Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the...
  • №269
  • 4,25 МБ
  • добавлен
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Berlin: Springer, 2004. — 316 p. — (Springer Series in Statistics). — ISBN 978-3-642-17146-8. The concept of nonparametric smoothing is a central idea in statistics that aims to simultaneously estimate and modes the underlying structure. The book considers high dimensional objects, as density functions and regression. The semiparametric modeling technique compromises the two aims,...
  • №270
  • 2,23 МБ
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B.: Springer, 2015. - 362p. The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of...
  • №271
  • 2,28 МБ
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Springer. 2014. — 185 Pages. ISBN: 3642368492. The complexity of today’s statistical data calls for modern mathematical tools. Many fields of science make use of mathematical statistics and require continuous updating on statistical technologies. Practice makes perfect, since mastering the tools makes them applicable. Our book of exercises and solutions offers a wide range of...
  • №272
  • 4,17 МБ
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N.-Y.: Psychology Press, 2015. — 266 p. The Essence of Multivariate Thinking is intended to make multivariate statistics more accessible to a wide audience. To encourage a more thorough understanding of multivariate methods, author Lisa Harlow suggests basic themes that run through most statistical methodology. The most pervasive theme is multiplicity. The author argues that...
  • №273
  • 11,85 МБ
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Psychology Press, 2001. — 625 p. — 3rd ed. — ISBN: 0805832106, 9780805832105 Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout...
  • №274
  • 10,09 МБ
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Amazon Digital Services LLC, 2016. — 56 p. From spam filters, to Netflix recommendations, to drug testing, Bayes Theorem (also known as Bayes Theory, Bayes Rule or Bayes Formula) is used through a huge number of industries. The reason it is so useful is it provides a systematic way to update estimated probability as new data is found out. Bayesian data analysis is taught in many...
  • №275
  • 2,35 МБ
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Wiley, 2019. — 279 p. — ISBN 978-1-119-47042-7. Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time series are characterized by a strong dependence between distant events. This book introduces readers to the theory and foundations of univariate time series analysis with a focus on long...
  • №276
  • 3,24 МБ
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Springer, 1980. — 195 p. The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number of old problems in outlier theory, and identified new ones. The major results...
  • №277
  • 2,31 МБ
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N.-Y.: Guilford Press, 2013. - 527p. Introduction. Simple Linear Regression. Multiple Linear Regression. The Simple Mediation Model. Multiple Mediator Models. Miscellaneous Topics in Mediation Analysis. Fundamentals of Moderation Analysis. Extending Moderation Analysis Principles. Miscellaneous Topics in Moderation Analysis. Fundamentals of Conditional Process...
  • №278
  • 9,54 МБ
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Berlin: Springer, 2014. — 381 p. This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes...
  • №279
  • 7,55 МБ
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Boca Raton: CRC Press, 2019. — 284 p. By reading this book you are expressing an interest in learning about causal inference. But, as a human being, you have already mastered the fundamental concepts of causal inference. You certainly know what a causal effect is; you clearly understand the difference between association and causation; and you have used this knowledge constantly...
  • №280
  • 3,24 МБ
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Springer, 2018. — 332 p. — (Graduate Texts in Mathematics 279). — ISBN 3319953478. This textbook provides an introduction to the combinatorial and statistical aspects of commutative algebra with an emphasis on binomial ideals. In addition to thorough coverage of the basic concepts and theory, it explores current trends, results, and applications of binomial ideals to other areas...
  • №281
  • 4,60 МБ
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2nd ed. — CRC Press, 2010. — 553 p. — ISB: 1439809089, 9781439809082 Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the...
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  • 5,44 МБ
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John Wiley & Sons, Inc., USA, 2017. — 422 p. — (Wiley Series in Probability and Statistics) — ISBN 9781119303343. In this important book, internationally acclaimed statistician, Chihiro Hirotsu, goes beyond classical analysis of variance (ANOVA) model to offer a unified theory and advanced techniques for the statistical analysis of experimental data. Dr. Hirotsu introduces the...
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N.-Y.: Wley, 1983. - 487p. Offering a balanced, up-to-date view of multiple comparison procedures, this book refutes the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, it establishes the advantages of multiple comparison techniques in reducing error rates and in ensuring the validity of...
  • №284
  • 21,30 МБ
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Boca Raton: CRC Press, 2014. - 431p. This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framework for expressing these richly parameterized models together as well as tools for exploring and interpreting the results of fitting the models...
  • №285
  • 15,36 МБ
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John Wiley & Sons, 1966. — 440 pages. A balanced presentation of both theoretical and applied material with numerous problem sets to illustrate important concepts. Demonstrates the use of computers and calculators to facilitate problem solving, as well as numerous applications to illustrate basic theory.
  • №286
  • 68,17 МБ
  • дата добавления неизвестна
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8th Edition. — Pearson Education, 2019. — 762 p. — ISBN 9780134686998. For courses in mathematical statistics. Comprehensive coverage of mathematical statistics — with a proven approach Introduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference...
  • №287
  • 5,74 МБ
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Pearson, 2013. — 704 p. — 7th ed. —ISBN: 0321795431, 9780321795434 In the preparation of this seventh edition, our goal has remained steadfast: to produce an outstanding text in mathematical statistics. In this new edition, we have added examples and exercises to help clarify the exposition. For the same reason, we have moved some material forward. For example, we moved the...
  • №288
  • 6,68 МБ
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Pearson, 2005. – 692 p. – 6th ed. – ISBN: 0130085073, 0131226053, 9780130085078 This classic book retains its outstanding ongoing features and continues to provide readers with excellent background material necessary for a successful understanding of mathematical statistics. Chapter topics cover classical statistical inference procedures in estimation and testing, and an...
  • №289
  • 14,58 МБ
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6th Edition. — Pearson Prentice Hall. — 111 p. Содержит решения задач из книги. Hogg R., McKean J., Craig A. Introduction to Mathematical Statistics, 6th Edition. Темы задач: . Probability and Distributions. Multivariate Distributions. Some Special Distributions. Unbiasedness, Consistency, and Limiting Distributions. Some Elementary Statistical Inferences. Maximum...
  • №290
  • 538,46 КБ
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Second Edition. — John Wiley & Sons, 1999. — 816 p. — ISBN: 0-471-19045-4. The importance of nonparametric methods in modern statistics has grown dramatically since their inception in the mid-1930s. Requiring few or no assumptions about the populations from which data are obtained, they have emerged as the preferred methodology among statisticians and researchers performing...
  • №291
  • 6,42 МБ
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Third Edition. — N.-Y.: John Wiley & Sons, 2014. — 844 p. — ISBN: 0470387378, 9780470387375. См. также эту книгу в PDF-формате: /file/1461390/ "In this third edition we have improved the eleven chapters of the second edition and added five new chapters. Also organized all of the R programs used in this third edition into a documented collection that is formally registered as an R...
  • №292
  • 7,55 МБ
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Wiley, 2013. — 848 p. — 3rd ed. — ISBN: 0470387378, 9780470387375 Praise for the Second Edition This book should be an essential part of the personal library of every practicing statistician. — Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new...
  • №293
  • 6,90 МБ
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Bookboon, 2016. — 146 p. — ISBN 978-87-403-1407-6. This is a book on the understanding of statistical concepts. If you have no knowledge, you will receive basic knowledge, without having to worry much about mathematics. And if you already know something about statistical methods, you will get a better understanding of the ideas behind them. All basic concepts are discussed in...
  • №294
  • 5,05 МБ
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Amsterdam: De Gruyter, 2014. - 276p. This textbook is devoted to the general asymptotic theory of statistical experiments. Local asymptotics for statistical models in the sense of local asymptotic (mixed) normality or local asymptotic quadraticity make up the core of the book. Numerous examples deal with classical independent and identically distributed models and with...
  • №295
  • 1,51 МБ
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Singapore: Springer, 2017. — 141 p. This book introduces academic researchers and professionals to the basic concepts and methods for characterizing interdependencies of multiple time series in the frequency domain. Detecting causal directions between a pair of time series and the extent of their effects, as well as testing the non existence of a feedback relation between them,...
  • №296
  • 3,22 МБ
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Open Court, 2005. - 470 pages. In this clearly reasoned defense of Bayes's Theorem — that probability can be used to reasonably justify scientific theories — Colin Howson and Peter Urbach examine the way in which scientists appeal to probability arguments, and demonstrate that the classical approach to statistical inference is full of flaws. Arguing the case for the Bayesian...
  • №297
  • 16,10 МБ
  • дата добавления неизвестна
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N.-Y.: Wiley, 2015. - 384p. Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data analysis (FDA). The self contained treatment of selected topics of functional analysis and operator theory...
  • №298
  • 2,34 МБ
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2nd ed. — Society for Industrial and Applied Mathematics, 1996. — 79 p. — ISBN: 089871379X, 9780898713794. Here is a brief, and easy-to-follow introduction and overview of robust statistics. Peter Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed...
  • №299
  • 2,96 МБ
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2nd ed. — Society for Industrial and Applied Mathematics, 1996. — 79 p. — ISBN: 089871379X, 9780898713794. Here is a brief, and easy-to-follow introduction and overview of robust statistics. Peter Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed...
  • №300
  • 1,03 МБ
  • добавлен
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John Wiley & Sons, 1981. — 320 p. The first systematic, book-length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proofs. Tables contain quantitative robustness...
  • №301
  • 1,71 МБ
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Basel: Birkhäuser, 2004. — 398 p. — ISBN 978-3-0348-9636-8, 978-3-0348-7958-3. The International Conference for Robust Statistics 2003, ICORS 2003, took place at the University of Antwerp, Belgium, from July 13-18. The conference was intended to be a forum where all aspects of robust statistics could be discussed. As such the scientific program included a wide range of talks on...
  • №302
  • 11,91 МБ
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2nd Edition. — John Wiley & Sons, 2006. — 488 p. — ISBN: 0471468150, 978-0471468158. A complete introduction to discriminant analysis — extensively revised, expanded, and updated. This Second Edition of the classic book, Applied Discriminant Analysis , reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis . Thoroughly updated and...
  • №303
  • 2,52 МБ
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World Scientific, 2011. — 366 p. — ISBN: 9814340553, 9789814340557 This festschrift includes papers authored by many collaborators, colleagues, and students of Professor Thomas P Hettmansperger, who worked in research in nonparametric statistics, rank statistics, robustness, and mixture models during a career that spanned nearly 40 years. It is a broad sample of peer-reviewed,...
  • №304
  • 6,43 МБ
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Boston: Academic Press, 1986. — 275 p. Dedication Preface Introduction and Historical Perspective The Definition of Seasonality Evaluation Criteria for Seasonal Adjustment Procedures The Errors-in-Variables Model The Errors-in-Variables Model: Application of Officially Adjusted Series The Time-Varying Parameter Model The Integrated Econometric Time-Series Procedure Conclusions...
  • №305
  • 13,35 МБ
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New York: Springer, 2003. — 470 p. Contents : Front Matter Introduction An Overview Minimax Distinguishability Sharp Asymptotics. I Sharp Asymptotics. II Gaussian Asymptotics for Power and Besov Norms Adaptation for Power and Besov Norms High-Dimensional Signal Detection Back Matter
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Amsterdam: Springer, 1997. - 330p. Contents : Front Matter Introduction Consistency Approximation by a Normal Distribution Asymptotic Expansions Related to the Least Squares Estimator Geometric Properties of Asymptotic Expansions Back Matter
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  • 6,31 МБ
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Moscow: Mir Publishers, 1991. — 279 p. This problem book covers all the traditional topics in modern statistical theory and is designed for students-at technical colleges and universities who have mathematical statistics as an obligatory course. The problems are mostly analytical. The student is asked to prove the validity of an assertion or carry.out an investigation. This will...
  • №308
  • 3,33 МБ
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Moscow: Mir Publishers, 1991. — 279 p. This problem book covers all the traditional topics in modern statistical theory and is designed for students-at technical colleges and universities who have mathematical statistics as an obligatory course. The problems are mostly analytical. The student is asked to prove the validity of an assertion or carry.out an investigation. This will...
  • №309
  • 4,12 МБ
  • добавлен
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New York: LeanPub, 2018. — 125 p. This book introduces the concepts behind statistical methods used to analyze data with correlated error structures. While correlated data arise in many ways, the focus is on ecological and evolutionary data, and two types of correlations: correlations generated by the hierarchical nature of the sampling (e.g., plots sampled within sites) and...
  • №310
  • 2,40 МБ
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Springer, 2008. — xxv, 733 p. — ISBN 0387781889, 9780387781884. Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting...
  • №311
  • 17,40 МБ
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This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point problems, predictive distributions, circular correlation and regression, etc. An important feature of this work is the S-plus...
  • №312
  • 4,13 МБ
  • дата добавления неизвестна
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Wiley-Interscience, 2005. — 584 p. — ISBN: 0471662593, 978-0471662594. A multidisciplinary approach that emphasizes learning by analyzing real-world data sets. This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of...
  • №313
  • 4,32 МБ
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Hoboken: Wiley, 2016. — 441 p. Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed. Some of the unique qualities of this book are: - Easy to Understand: Uses unique...
  • №314
  • 3,38 МБ
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Wiley, 2016. — 448 p. — ISBN 1119272033, 9781119272038. Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed. Some of the unique qualities of this book are: Easy to...
  • №315
  • 15,69 МБ
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Taylor & Francis Group, LLC. 2011 - 216 pages. ISBN: 1439837732. Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of...
  • №316
  • 3,65 МБ
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Springer, 1997. — 416. This book is devoted to (a) multivariate models for non-normal response, an area of probability and statistics with increasing activity and applications, and (b) dependence concepts that are useful for analysing properties of multivariate models. It also adds to the knowledge of the space of multivariate distributions. The methods and models of this...
  • №317
  • 8,55 МБ
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Oxford: Oxford University Press, 1996. - 280p. The Johansen tests of cointegration are development for the five models proposed for johansen, the book includes examples with a database of the monetary sector. The book contains the classic topics in cointegration (test for cointegration, and test for specification of the vector of cointegration alpha and beta vectors), have two...
  • №318
  • 4,35 МБ
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N.-Y.: Wiley, 1997. — 328 p. Timely, comprehensive, practical-an important working resource for all who use this critical statistical method Discrete Multivariate Distributions is the only comprehensive, single-source reference for this increasingly important statistical subdiscipline. It covers all significant advances that have occurred in the field over the past quarter...
  • №319
  • 7,82 МБ
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N.-Y.: Springer, 2010. - 518p. Выходящая вторым изданием монография по методу главных компонент охватывает следующие вопросы: алгебраические свойства главных компонент и их статистическое оценивание, примеры использования в различных отраслях, графические методы анализа, выбор подмножества компонент, связь метода с факторным, регрессионным и другими многомерными методами,...
  • №320
  • 3,16 МБ
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New York: Springer, 1993. — 206 p. Content: Front Matter Introduction A General Linear Mixed Model First Order Autoregressive Errors State Space Representations The Laird-Ware Model in State Space Form Autoregressive Moving Average Errors Nonlinear Models Multivariate Models Back Matter
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  • 4,75 МБ
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Robert Jonsson, 2014. — 198 p. — ISBN: 8740307522 9788740307528. This volume is dedicated to statistical inference - a process of drawing general conclusions from data in a specific sample. The present book differs from the latter since it focuses on problem solving and only a minimum of the theory needed is presented. Typical inferential problems are: Does alternative A...
  • №322
  • 10,01 МБ
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L.: Chapman & Hall, 1997. - 249 p. The theory of dispersion models straddles both statistics and probability, and involves an encyclopedic collection of tools, such as exponential families, asymptotic theory, stochastic processes, Tauber theory, infinite divisibility, and stable distributions. The Theory of Dispersion Models introduces the reader to these models, which serve as...
  • №323
  • 24,01 МБ
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Springer, 2003. — 607 p. This book is intended for a course entitled Mathematical Statistics offered at the Department of Statistics, University of Wisconsin-Madison. This course, taught in a mathematically rigorous fashion, covers essential materials in statistical theory that a first or second year graduate student typically needs to learn as preparation for work on a Ph.D. degree...
  • №324
  • 4,72 МБ
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CRC Press. 2012. — 410 pages. — ISBN: 1439840687. Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level...
  • №325
  • 3,78 МБ
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Project Mosaic Books, 2017. - 433p. - ASIN: B073WDBJ57 "Statistical Modeling: A Fresh Approach" introduces and illuminates the statistical reasoning used in modern research throughout the natural and social sciences, medicine, government, and commerce. It emphasizes the use of models to untangle and quantify variation in observed data. By a deft and concise use of computing...
  • №326
  • 2,74 МБ
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2nd Ed. — Project MOSAIC Books, 2017. — 349 p. — ASIN B073WDBJ57. "Statistical Modeling: A Fresh Approach" introduces and illuminates the statistical reasoning used in modern research throughout the natural and social sciences, medicine, government, and commerce. It emphasizes the use of models to untangle and quantify variation in observed data. By a deft and concise use of...
  • №327
  • 3,00 МБ
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2nd Ed. — Project MOSAIC Books, 2017. — 161 p. — ASIN B073WDBJ57. "Statistical Modeling: A Fresh Approach" introduces and illuminates the statistical reasoning used in modern research throughout the natural and social sciences, medicine, government, and commerce. It emphasizes the use of models to untangle and quantify variation in observed data. By a deft and concise use of...
  • №328
  • 4,01 МБ
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CRC Press, 2000. — 436 p. This book presents in-depth discussions of the Generalized Lambda Distribution (GLD), a flexible, four parameter family of probability distributions, and the extended GLD (EGLD), which provides an even more effective way of using the GLD. Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions...
  • №329
  • 25,27 МБ
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John Wiley & Sons, 1966. — 586 p. A Tchebycheff system plays an important role (sometimes indirectly) in numerous domains of mathematical analysis, notably (a) the theory of approximations, where the chief applications are to interpolation methods, quadrature formulas, and smoothing of data; (b) boundary value problems and problems involving oscillation properties of zeros in...
  • №330
  • 4,17 МБ
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New York: Autoedition, 2018. — 309 p. Take a moment to visualize humanity in its entirety, from the earliest humans to the present. How would you characterize the well-being of humanity? Think beyond the latest stories in the news. To help clarify, think about medical treatment, housing, transportation, education, and our knowledge. While there is no denying that we have some...
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  • 4,26 МБ
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Society for Industrial and Applied Mathematics, Philadelphia, 1993 - 226 pages This book is a result of a fruitful collaboration by three major research workers on PMC. It is a comprehensive survey of recent contributions to the subject. It discusses the merits and deficiencies of PMC, throws light on recent controversies, and formulates new problems for further research....
  • №332
  • 22,29 МБ
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Springer, 2010. — 538 p. - Comprehensive coverage of estimation and hypothesis testing, frequentist and Bayesian paradigms, large and small sample methods, and the theory underlying numerical algorithms - Detailed and rigorous exposition designed to make the material clear and accessible - Rich collection of exercises, many with solutions, pushing students to learn the...
  • №333
  • 2,85 МБ
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New York: Dover Publications, Inc., 1995. — 462 pages. — ISBN 0486685020. this excellent text emphasizes the inferential and decision-making aspects of statistics. The first chapter is mainly concerned with the elements of the calculus of probability. The second chapter contains the essential statistical techniques of summarizing the data in a sample prior to making inferences...
  • №334
  • 9,91 МБ
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N.-Y.: Routledge, 2014. — 600 p. Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book...
  • №335
  • 4,97 МБ
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3d, revised and corrected edition. — New York: Hafner, 1971. — 172 p. New terms were defined in their sources, such as Fisher's (1922) " Mathematical Foundation of Theoretical Statistics, " which begins with a glossary of terms that are used for the first time in statistics, and introduces concepts such as a statistic's efficiency, sufficiency, consistency, a new definition for...
  • №336
  • 23,54 МБ
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New York: Hafner, 1971. - 452 p. Udny Yule's great classic textbook, now rewritten by Prof. M. G. Kendall, is designed as an introduction for students of statistical theory, and of the many sciences in which statistical methods are applied. Providing a complete course, the book includes some important tables for reference. Many worked examples are given, and numerous exercises are...
  • №337
  • 5,18 МБ
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D. Van Nostrand Company, Inc., 1947. — 248 p. This book is an elementary text dealing with the mathematics of statistics. Introduction Frequency distribution Graphical representation Averages Moments Measures of dispersion Types of distributions. The normal curve Curve fitting Correlation theory Tables Index
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  • 9,16 МБ
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D. Van Nostrand Company, Inc., 1947. — 202 p. This book is an elementary text dealing with the mathematics of statistics. Probability and its relation to statistical theory Some useful integrals and functions General concepts of distribution function of a continuos variable Joint distributions of two variables. Multiple and partial correlation Fundamentals of sampling theory with...
  • №339
  • 7,57 МБ
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Elsevier, 2003. — 1178 p. This volume presents a state of the art exposition of topics in the industrial statistics. It serves as an invaluable reference for the researchers in industrial statistics/industrial engineering and an up to date source of information for practicing statisticians/industrial engineers. A variety of topics in the areas of industrial process monitoring,...
  • №340
  • 11,94 МБ
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N.-Y.: Wiley, 1998. - 384p. An advanced discussion of linear models with mixed or random effects.In recent years a breakthrough has occurred in our ability to draw inferences from exact and optimum tests of variance component models, generating much research activity that relies on linear models with mixed and random effects. This volume covers the most important research of...
  • №341
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Hoboken: CRC Press, 2013. — 221 p. Preface List of Tables Introduction Likelihood-based approach Computation Imputation Propensity scoring approach Nonignorable missing data Longitudinal and clustered data Application to survey sampling Statistical matching Bibliography
  • №342
  • 26,06 МБ
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Dulles: Mercury Learning and Information, 2015. — 300 p. Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences, engineering, and in computer science. Designed for training industry professionals or for a course on clustering and classification,...
  • №343
  • 25,97 МБ
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Wadsworth Publishing, 2007. - 672 pages. Master Teacher and writer Roger E. Kirk brings two clear goals to the Fifth Edition of "Statistics: An Introduction": to provide a sound introduction to descriptive and inferential statistics and to help students read and understand statistical presentations in their field. Kirk provides guidelines to help you decide when to use various...
  • №344
  • 5,16 МБ
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N.-Y.: BarCharts, 2009. — 6 p. Table of contents: Formulating Hypotheses Probability Distributions Sample Problems & Solutions Sampling Distributions Formulating Hypotheses Finding Errors & P-Values
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  • 2,26 МБ
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(Математическая статистика - Chapman & Hall/CRC, 2000). This book is intended as a textbook (or reference) for a full year Master’s level (or senior level undergraduate) course in mathematical statistics aimed at students in statistics, biostatistics, and related fields. Contents: Introduction to Probability. Random experiments. Probability measures. Conditional probability...
  • №346
  • 3,61 МБ
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Berlin: Springer, 1991. — 202 p. — ISBN 9780387539010, 0387539018. In each chapter of this volume some specific topics in the econometric analysis of time series data are studied. All topics have in common the statistical inference in linear models with correlated disturbances. The main aim of the study is to give a survey of new and old estimation techniques for regression models...
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  • 4,00 МБ
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Cambridge University Press. 2013. — 400 pages. ISBN: 0521887933. 'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical...
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  • 22,95 МБ
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Second Edition. — New York: W. H. Freeman and Company, 2015. — 890 p. — ISBN 978-1464111693. Stephen Kokoska’s Introductory Statistics: A Problem-Solving Approach demonstrated that when presented in a precise step-by-step manner, with an understanding of what makes the material difficult, statistics can be made accessible, meaningful, and useful, even to the most skeptical...
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  • 40,56 МБ
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Springer, 1989. — 93 p. — ISBN: 0387968733, 9780387968735 All students and professionals in statistics should refer to this volume as it is a handy reference source for statistical formulas and information on basic probability distributions. It contains carefully designed and well laid out tables for standard statistical distributions (including Binomial, Poisson, Normal, and...
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  • 3,80 МБ
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New York: Springer, 2009. — 397 p. In the past decade, the study of networks has increased dramatically. Researchers from across the sciences—including biology and bioinformatics, computer science, economics, engineering, mathematics, physics, sociology, and statistics—are more and more involved with the collection and statistical analysis of network-indexed data. As a result,...
  • №351
  • 4,19 МБ
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3rd ed. — Springer, 2006. — 228 p. — (Lecture Notes in Statistics, Vol. 88). — ISBN: 0387314091, 9780387314099. This book was originally compiled for a course I taught at the University of Rochester in the fall of 1991, and is intended to give advanced graduate students in statistics an introduction to Edgeworth and saddlepoint approximations, and related techniques. Many other...
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  • 2,00 МБ
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Singapore: World Scientific Publishing Company, 2013. — 180 p. The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications of multivariate statistical methods. A paper on Pearson-Kotz-Dirichlet distributions by Professor N.Balakrishnan contains main results of the Samuel Kotz Memorial Lecture. Extensions...
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  • 1,49 МБ
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