Theoretical Statistics

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Robert Keener is Professor of Statistics at the University of Michigan and a fellow of the Institute of Mathematical Statistics.

出版者:Springer
作者:Robert W. Keener
出品人:
页数:555
译者:
出版时间:2010-9-17
价格:USD 99.00
装帧:Hardcover
isbn号码:9780387938387
丛书系列:Springer Texts in Statistics
图书标签:
  • Statistics 
  • 数学 
  • 统计学 
  • 统计 
  • Theoretical 
  • Mathematics 
  • 统计理论 
  • inference 
  •  
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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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This should be what Bickel and Doksum really like

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mark一下

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mark一下

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老板最爱的inference教材,Berkeley也用这本

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