The Advanced Theory Of Statistics

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Kendall's Advanced Theory of Statistics

Author : Alan Stuart,Keith Ord
Publisher : Wiley
Page : 700 pages
File Size : 48,7 Mb
Release : 2009-04-20
Category : Mathematics
ISBN : 0340614307

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Kendall's Advanced Theory of Statistics by Alan Stuart,Keith Ord Pdf

This major revision contains a largely new chapter 7 providing an extensive discussion of the bivariate and multivariate versions of the standard distributions and families. Chapter 16 has been enlarged to cover mulitvariate sampling theory, an updated version of material previously found in the old Volume 3. The previous chapters 7 and 8 have been condensed into a single chapter providing an introduction to statistical inference. Elsewhere, major updates include new material on skewness and kurtosis, hazard rate distributions, the bootstrap, the evaluation of the multivariate normal integral and ratios of quadratic forms. This new edition includes over 200 new references, 40 new exercises and 20 further examples in the main text. In addition, all the text examples have been given titles and these are listed at the front of the book for easier reference.

Theory of Statistics

Author : Mark J. Schervish
Publisher : Springer Science & Business Media
Page : 732 pages
File Size : 42,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461242505

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Theory of Statistics by Mark J. Schervish Pdf

The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph.D. An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches.

Kendalls Advanced Theory of Statistics, 3 Volume Set

Author : Alan Stuart,Keith Ord,Steven Arnold,Anthony O'Hagan,Jonathan Forster
Publisher : Wiley
Page : 250 pages
File Size : 50,5 Mb
Release : 2009-02-24
Category : Mathematics
ISBN : 0340814934

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Kendalls Advanced Theory of Statistics, 3 Volume Set by Alan Stuart,Keith Ord,Steven Arnold,Anthony O'Hagan,Jonathan Forster Pdf

This 3-volume set offers the complete, classic Kendall's Advanced Theory of Statistics in a single, value-for-money pack. The latest set includes the brand new second edition of the popular 'Volume 2B: Bayesian Inference', along with the sixth editions of 'Volume 1: Distribution Theory' and 'Volume 2A: Classical Inference and the Linear Model'.

The Advanced Theory of Statistics: Distribution theory

Author : Maurice George Kendall,Alan Stuart
Publisher : Unknown
Page : 460 pages
File Size : 43,6 Mb
Release : 1963
Category : Mathematical statistics
ISBN : UOM:39015022652559

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The Advanced Theory of Statistics: Distribution theory by Maurice George Kendall,Alan Stuart Pdf

Theory and Methods of Statistics

Author : P.K. Bhattacharya,Prabir Burman
Publisher : Academic Press
Page : 544 pages
File Size : 41,8 Mb
Release : 2016-06-23
Category : Mathematics
ISBN : 9780128041239

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Theory and Methods of Statistics by P.K. Bhattacharya,Prabir Burman Pdf

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 various special topics, including nonparametrics, curve estimation, multivariate analysis, time series, and resampling. The book presents subjects such as "maximum likelihood and sufficiency," and is written with an intuitive, heuristic approach to build reader comprehension. It also includes many probability inequalities that are not only useful in the context of this text, but also as a resource for investigating convergence of statistical procedures. Codifies foundational information in many core areas of statistics into a comprehensive and definitive resource Serves as an excellent text for select master’s and PhD programs, as well as a professional reference Integrates numerous examples to illustrate advanced concepts Includes many probability inequalities useful for investigating convergence of statistical procedures

Theory of Games and Statistical Decisions

Author : David A. Blackwell,M. A. Girshick
Publisher : Courier Corporation
Page : 388 pages
File Size : 41,5 Mb
Release : 2012-06-14
Category : Mathematics
ISBN : 9780486150895

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Theory of Games and Statistical Decisions by David A. Blackwell,M. A. Girshick Pdf

Evaluating statistical procedures through decision and game theory, as first proposed by Neyman and Pearson and extended by Wald, is the goal of this problem-oriented text in mathematical statistics. First-year graduate students in statistics and other students with a background in statistical theory and advanced calculus will find a rigorous, thorough presentation of statistical decision theory treated as a special case of game theory. The work of Borel, von Neumann, and Morgenstern in game theory, of prime importance to decision theory, is covered in its relevant aspects: reduction of games to normal forms, the minimax theorem, and the utility theorem. With this introduction, Blackwell and Professor Girshick look at: Values and Optimal Strategies in Games; General Structure of Statistical Games; Utility and Principles of Choice; Classes of Optimal Strategies; Fixed Sample-Size Games with Finite Ω and with Finite A; Sufficient Statistics and the Invariance Principle; Sequential Games; Bayes and Minimax Sequential Procedures; Estimation; and Comparison of Experiments. A few topics not directly applicable to statistics, such as perfect information theory, are also discussed. Prerequisites for full understanding of the procedures in this book include knowledge of elementary analysis, and some familiarity with matrices, determinants, and linear dependence. For purposes of formal development, only discrete distributions are used, though continuous distributions are employed as illustrations. The number and variety of problems presented will be welcomed by all students, computer experts, and others using statistics and game theory. This comprehensive and sophisticated introduction remains one of the strongest and most useful approaches to a field which today touches areas as diverse as gambling and particle physics.

All of Statistics

Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 47,7 Mb
Release : 2013-12-11
Category : Mathematics
ISBN : 9780387217369

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All of Statistics by Larry Wasserman Pdf

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

The Advanced Theory of Statistics

Author : Maurice George Kendall,Alan Stuart
Publisher : Unknown
Page : 746 pages
File Size : 48,5 Mb
Release : 1973
Category : Mathematics
ISBN : UOM:39015016469184

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The Advanced Theory of Statistics by Maurice George Kendall,Alan Stuart Pdf

Asymptotic Theory in Probability and Statistics with Applications

Author : T. L. Lai,Lianfen Qian,Qi-Man Shao
Publisher : Unknown
Page : 560 pages
File Size : 49,9 Mb
Release : 2008
Category : Mathematics
ISBN : UOM:39015080827655

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Asymptotic Theory in Probability and Statistics with Applications by T. L. Lai,Lianfen Qian,Qi-Man Shao Pdf

Presents a collection of 18 papers, many of which are surveys, on asymptotic theory in probability and statistics, with applications to a variety of problems. This volume comprises three parts: limit theorems, statistics and applications, and mathematical finance and insurance. It is suitable for graduate students in probability and statistics.

The Advanced Theory of Statistics

Author : Maurice George Kendall
Publisher : Unknown
Page : 521 pages
File Size : 48,6 Mb
Release : 1959
Category : Mathematical statistics
ISBN : OCLC:271482898

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The Advanced Theory of Statistics by Maurice George Kendall Pdf

Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model

Author : Alan Stuart,Keith Ord,Steven Arnold
Publisher : Wiley
Page : 0 pages
File Size : 54,8 Mb
Release : 2010-02-22
Category : Mathematics
ISBN : 0470689242

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Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model by Alan Stuart,Keith Ord,Steven Arnold Pdf

The development of statistical theory in the past fifty years is faithfully reflected in the history of the late Sir Maurice Kendall’s volumes The Advanced Theory of Statistics. The Advanced Theory began life as a two volume work (Volume 1, 1943; Volume 2, 1946) and grew steadily, as a single authored work until the late fifties. At that point Alan Stuart became involved and the Advanced Theory was rewritten in three volumes. When Keith Ord joined in the early eighties, Volume 3 became the largest and plans were developed to expand it into a series of monographs called the Kendall's Library of Statistics which would devote a book to each of the modern developments in statistics. This series is well on the way with 5 titles in print and a further 7 on the way. A new volume on Bayesian Inference was also commissioned from Tony O'Hagan and published in 1994 as Volume 2B of the Advanced Theory. This Volume 2A is therefore the completely updated Volume 2 - Classical Inference and Relationship. A new author, Steven Arnold, was invited to join Keith Ord and they have between them produced a work of the highest quality. References have been updated and material revised throughout. A new chapter on the linear model and least squares estimation has been added.

The Advanced Theory of Statistics: Design and analysis, and time-series

Author : Maurice George Kendall,Alan Stuart
Publisher : Unknown
Page : 604 pages
File Size : 51,8 Mb
Release : 1976
Category : Mathematical statistics
ISBN : UOM:39015013137982

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The Advanced Theory of Statistics: Design and analysis, and time-series by Maurice George Kendall,Alan Stuart Pdf

Kendall's Advanced Theory of Statistics, Set

Author : Alan Stuart
Publisher : Wiley
Page : 0 pages
File Size : 53,8 Mb
Release : 2010-08-30
Category : Mathematics
ISBN : 0470669543

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Kendall's Advanced Theory of Statistics, Set by Alan Stuart Pdf

Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development of modern statistical theory is reflected in the history of the late Sir Maurice Kendall's volumes, The Advanced Theory of Statistics. This landmark publication begain life as a two-colume work and grew steadily, as a single-authored work, until the late 1950s. This volume offers a major revision including a discussion of the bivariate and multivariate versions of the standard distributions and families. Other major updated include new material on skewness and kurtosis, hazard rate distributions, the bootstrap, the evaluation of the multivariate normal integral, and ratios of quadtraic forms.

Kendall's Advanced Theory of Statistics, Distribution Theory

Author : Alan Stuart,Keith Ord
Publisher : John Wiley & Sons
Page : 709 pages
File Size : 47,5 Mb
Release : 2010-02-22
Category : Mathematics
ISBN : 9780470665305

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Kendall's Advanced Theory of Statistics, Distribution Theory by Alan Stuart,Keith Ord Pdf

Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development of modern statistical theory is reflected in the history of the late Sir Maurice Kenfall's volumes, The Advanced Theory of Statistics. This landmark publication began life as a two-volume work and grew steadily as a single-authored work until the 1950s. In this edition, there is new material on skewness and kurtosis, hazard rate distribution, the bootstrap, the evaluation of the multivariate normal integral and ratios of quadratic forms. It also includes over 200 new references, 40 new exercises, and 20 further examples in the main text.

Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model

Author : Alan Stuart,Keith Ord,Steven Arnold
Publisher : Wiley
Page : 912 pages
File Size : 50,6 Mb
Release : 2009-01-27
Category : Mathematics
ISBN : 0340662301

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Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model by Alan Stuart,Keith Ord,Steven Arnold Pdf

The development of statistical theory in the past fifty years is faithfully reflected in the history of the late Sir Maurice Kendall’s volumes The Advanced Theory of Statistics. The Advanced Theory began life as a two volume work (Volume 1, 1943; Volume 2, 1946) and grew steadily, as a single authored work until the late fifties. At that point Alan Stuart became involved and the Advanced Theory was rewritten in three volumes. When Keith Ord joined in the early eighties, Volume 3 became the largest and plans were developed to expand it into a series of monographs called the Kendall's Library of Statistics which would devote a book to each of the modern developments in statistics. This series is well on the way with 5 titles in print and a further 7 on the way. A new volume on Bayesian Inference was also commissioned from Tony O'Hagan and published in 1994 as Volume 2B of the Advanced Theory. This Volume 2A is therefore the completely updated Volume 2 - Classical Inference and Relationship. A new author, Steven Arnold, was invited to join Keith Ord and they have between them produced a work of the highest quality. References have been updated and material revised throughout. A new chapter on the linear model and least squares estimation has been added.