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Theoretical statistics : topics for a core course

著者: Robert W Keener
出版社: New York : Springer, 2010.
シリーズ: Springer texts in statistics.
エディション/フォーマット:   電子書籍 : Document : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
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  続きを読む
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ジャンル/形式: Electronic books
その他のフォーマット: Print version:
Keener, Robert W.
Theoretical statistics.
New York : Springer, 2010
(DLC) 2010935925
(OCoLC)688477588
資料の種類: Document, インターネット資料
ドキュメントの種類 インターネット資料, 電子ファイル
すべての著者/寄与者: Robert W Keener
ISBN: 9780387938394 0387938397 0387938389 9780387938387
OCLC No.: 676700036
物理形態: 1 online resource (xvii, 538 pages) : illustrations.
コンテンツ: Probability and measure --
Exponential families --
Risk, sufficiency, completeness, and ancillarity --
Unbiased estimation --
Curved exponential families --
Conditional distributions --
Bayesian estimation --
Large sample theory --
Estimating equations and maximum likelihood --
Equivariant estimation --
Empirical bayes and shrinkage estimators --
Hypothesis testing --
Optimal tests in higher dimensions --
General linear model --
Bayesian inference: Modeling and computation --
Asymptotic optimality --
Large sample theory for likelihood ratio tests --
Nonparametric regression --
Bootstrap methods --
Sequential methods.
シリーズタイトル: Springer texts in statistics.
責任者: Robert W. Keener.
その他の情報

概要:

Covers topics in theoretical statistics. This book includes chapters that covers bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and  続きを読む

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From the reviews: "The book is innovative in the presentation and in mashing the traditional material with modern topics. The presentation shows a great mastery of the subject. ... recommended to 続きを読む

 
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