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Applied Statistical Inference : Likelihood and Bayes / by Leonhard Held, Daniel Sabanés Bové
版 | 1st ed. 2014. |
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出版者 | (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer) |
出版年 | 2014 |
本文言語 | 英語 |
大きさ | XIII, 376 p. 71 illus : online resource |
著者標目 | *Held, Leonhard author Sabanés Bové, Daniel author SpringerLink (Online service) |
件 名 | LCSH:Statistics LCSH:Biometry LCSH:Mathematical statistics -- Data processing 全ての件名で検索 FREE:Statistical Theory and Methods FREE:Biostatistics FREE:Statistics and Computing |
一般注記 | This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint. Properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic are discussed in detail. In the second part, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. Modern numerical techniques for Bayesian inference are described in a separate chapter. Finally two more advanced topics, model choice and prediction, are discussed both from a frequentist and a Bayesian perspective. A comprehensive appendix covers the necessary prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis HTTP:URL=https://doi.org/10.1007/978-3-642-37887-4 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783642378874 |
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電子リソース |
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EB00229519 |
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