Mathematical statistics with applications, Wackerly, Dennis Mendenhall, William Scheaffer, Ri

Автор: Anders Hald
Название: A History of Probability and Statistics and Their Applications before 1750
ISBN: 0471471291 ISBN-13(EAN): 9780471471295
Издательство: Wiley
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Цена: 148610 T
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Описание: Statistics have helped shape every area of science.  Without the means to analyze critical data, none of the great disoveries of the past would be possible.  This paperback reprint of a Wiley bestseller shows the development of these data analysis tools and the manner in which they aided technological development prior to 1750.

Автор: S. James Press
Название: Subjective and Objective Bayesian Statistics: Principles, Models, and Applications, 2nd Edition
ISBN: 0471348430 ISBN-13(EAN): 9780471348436
Издательство: Wiley
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Цена: 163350 T
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Описание: This second edition of Bayesian Statisticsexpands and updates the classic text in the field. It features new findings and even more applications to support the usefulness of the material. Neither too technical nor too simistic, this accessible survey of an important field strikes the perfect balance between theory and application.

Автор: Milton; Arnold
Название: Introduction To Probability And Statistics: Principles And Applications For Engineering And The Computing Sciences
ISBN: 0071198598 ISBN-13(EAN): 9780071198592
Издательство: McGraw-Hill
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Цена: 49910 T
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Описание: Designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences, this text offers a presentation of applications and theory. It aims to develop the theoretical foundations for the statistical methods. It explores the practical implications of the formal results to problem-solving.

Автор: Shao
Название: Mathematical Statistics: Exercises and Solutions
ISBN: 0387249702 ISBN-13(EAN): 9780387249704
Издательство: Springer
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Цена: 83530 T
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Описание: This book consists of solutions to four hundred exercises, over 95% of which are in the author’s Mathematical Statistics. That textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics.On the other hand, this is a stand-alone book, since exercises and solutions are comprehensible independently of their source. Many solutions involve standard exercises that appear in other textbooks listed in the references. To help readers not using this book with Mathematical Statistics, lists of notation, terminology, and some probability distributions are given in the front of the book.Readers are assumed to have a good knowledge in advanced calculus. A course in real analysis or measure theory is highly recommended. If this book is used with a statistics textbook that does not include probability theory, then knowledge in measure-theoretic probability theory is required. The exercises are grouped into seven chapters with titles matching those in Mathematical Statistics.

Автор: Howard E.A. Tinsley
Название: Handbook of Applied Multivariate Statistics and Mathematical Mode
ISBN: 0126913609 ISBN-13(EAN): 9780126913606
Издательство: Elsevier Science
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Цена: 199550 T
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Описание: This handbook explains the appropriate uses of multivariate procedures and mathematical modelling techniques, and prescribes practices that should enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis.

Автор: BALAKRISHNAN
Название: ORDER STATISTICS: APPLICATIONS HS
ISBN: 0444829229 ISBN-13(EAN): 9780444829221
Издательство: Elsevier Science
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Цена: 153140 T
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Описание: Dealing primarily with applications of statistics, this text is divided into six parts; results for specific distributions; linear estimations; inferential methods; prediction; goodness-of-fit tests; and applications.

Автор: Moore Marc
Название: Spatial Statistics: Methodological Aspects and Applications
ISBN: 0387952403 ISBN-13(EAN): 9780387952406
Издательство: Springer
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Цена: 111370 T
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Описание: During the past twenty years spatial statistics has experienced important developments and has been applied in many fields of science. In view of these facts, spatial statistics was an important topic during the theme year on statistics at the CRM (Centre de recherches mathГ©matiques, UniversitГ© de MontrГ©eal) in 1997-98. This volume contains 13 papers based on presentations by eminent researchers at four workshops during that year: Statistical Inference for Spatial Processes, Image Analysis, Applications of Spatial Statistics in Earth, Environmental, and Health Sciences, and Statistics of Brain Mapping. These papers range from asymptotic considerations for spatial processes to practical considerations related to particular applications including important methodological aspects. Many contributions concern image analysis, mainly images related to brain mapping.This volume will be of interest to researchers in spatial statistics and to applied scientists considering how to utilize these tools. It should also be helpful to young researchers look for research topics.Marc Moore is professor of statistics at the Г‰cole Polytechnnique de MontrГ©al. He has been Editor of the Canadian Journal of Statistics and is a former President of the Statistical Society of Canada.

Автор: Jan Beirlant
Название: Statistics of Extremes: Theory and Applications
ISBN: 0471976474 ISBN-13(EAN): 9780471976479
Издательство: Wiley
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Цена: 115430 T
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Описание: 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, including risk and insurance: a major area of interest and relevance to extreme value theory. Case studies are introduced providing a good balance of theory and application of each model discussed, incorporating many illustrated examples and plots of data. The last part of the book covers some interesting advanced topics, including  time series, regression, multivariate and Bayesian modelling of extremes, the use of which has huge potential.

Автор: Shao Jun
Название: Mathematical Statistics
ISBN: 0387953825 ISBN-13(EAN): 9780387953823
Издательство: Springer
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Цена: 102090 T
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Описание: This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are usefulin statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Chapters 3-7 contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results. In addition to the classical results that are typically covered in a textbook of a similar level, this book introduces some topics in modern statistical theory that have been developed in recent years, such as Markov chain Monte Carlo, quasi-likelihoods, empirical likelihoods, statistical functionals, generalized estimation equations, the jackknife, and the bootstrap. Jun Shao is Professor of Statistics at the University of Wisconsin, Madison. Also available: Jun Shao and Dongsheng Tu, The Jackknife and Bootstrap, Springer- Verlag New York, Inc., 1995, Cloth, 536 pp., 0-387-94515-6.

Автор: Vershik Anatoly M.
Название: Asymptotic Combinatorics with Applications to Mathematical Physics / A European Mathematical Summer School held at the Euler Institute, St. Petersburg, Russia, July 9-20, 2001
ISBN: 3540403124 ISBN-13(EAN): 9783540403128
Издательство: Springer
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Цена: 46360 T
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Описание: At the Summer School Saint Petersburg 2001, the main lecture courses bore on recent progress in asymptotic representation theory: those written up for this volume deal with the theory of representations of infinite symmetric groups, and groups of infinite matrices over finite fields; Riemann-Hilbert problem techniques applied to the study of spectra of random matrices and asymptotics of Young diagrams with Plancherel measure; the corresponding central limit theorems; the combinatorics of modular curves and random trees with application to QFT; free probability and random matrices, and Hecke algebras.

Автор: Kapadia, Asha Seth
Название: Mathematical Statistics With Applications
ISBN: 082475400X ISBN-13(EAN): 9780824754006
Издательство: Taylor&Francis
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Цена: 107770 T
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Описание: Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area. Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials. With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.

Автор: Nolan Deborah, Speed Terry P.
Название: Stat Labs / Mathematical Statistics Through Applications
ISBN: 0387989749 ISBN-13(EAN): 9780387989747
Издательство: Springer
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Цена: 41760 T
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Описание: Stat Labs: Mathematical Statistics Through Applications blends mathematical statistics with modern statistical practice. It turns the traditional teaching of mathematical statistics on its head by making a case study the centerpiece of each chapter. Chapters begin with the introduction of a real problem followed by a description of the data collected to address the problem, rich background material to put the problem in context, and suggestions for investigating the problem. This novel approach to bringing data analysis into the theoretical course is ideal for motivating and illustrating standard statistical techniques, for helping students understand mathematical statistics, and for showing how statistics can be useful in a wide variety of contexts.Stat Labs is designed for use in a calculus-based introductory statistics course. It would be equally effective as a stand-alone text or as a supplement to a traditional mathematical statistics text.Deborah Nolan received her Ph.D in Statistics from Yale University, and she is now Professor of Statistics at the University of California, Berkeley. Her research interests include high-dimensional modeling, the teaching of statistics, and the use of technology in education. She has also been involved in encouraging women into research careers in the mathematical sciences, and in 1997 edited the volume, Women in Mathematics: Scaling the Heights for the Mathematical Association of America.Terry Speed's professional activities center around teaching and research involving th application of statistics to genetics and molecular biology. He spends 50% of his time in the Department of Statistics of the University of California at Berkeley, and the other 50% with the Genetics and Bioinformatics Group of the Walter & Eliza Hall Institute of Medical Research in Melbourne, Australia.