Theoretical Statistics 在线电子书 图书标签: Statistics 数学 统计学 统计 Theoretical Mathematics 统计理论 inference
发表于2024-11-26
Theoretical Statistics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
This should be what Bickel and Doksum really like
评分This should be what Bickel and Doksum really like
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评分老板最爱的inference教材,Berkeley也用这本
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Robert Keener is Professor of Statistics at the University of Michigan and a fellow of the Institute of Mathematical Statistics.
Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential. The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis. The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix.
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Theoretical Statistics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024