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<図書>
Model selection and model averaging

責任表示 Gerda Claeskens, Nils Lid Hjort
シリーズ Cambridge series on statistical and probabilistic mathematics
データ種別 図書
出版者 Cambridge ; New York : Cambridge University Press
出版年 2008
本文言語 英語
大きさ xvii, 312 p. : ill. ; 26 cm
概要 This graduate text presents several methods that data analysts and statisticians can use to help them choose which models to use for different purposes. Akaike's information criterion (AIC), the Bayes...an information criterion (BIC), and the focused information criterion (FIC) are explained and compared. Worked examples with real data are complemented by derivations that provide deeper insight into the methodology. For many of the examples and methods, the authors indicate how they can be applied using available software. Chapter exercises, both theoretical and data-based, are included. All data analyses are compatible with open-source R software, and data sets and R code are available from a companion web site. Readers are assumed to have prior basic knowledge of likelihood functions, applied regression, and basic matrix computations. Claeskens is affiliated with the Leuven Statistics Research Center at the Katholieke Universiteit Leuven, Belgium. Hjort teaches mathematical statistics at the University of Oslo, Norway. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com) 続きを見る

所蔵情報

: hardback 理系図3F 数理独自 023212008004602 CLAE/10/1 2008

書誌詳細

一般注記 Includes bibliographical references (p. 293-305) and index
著者標目 *Claeskens, Gerda
Hjort, Nils Lid
件 名 LCSH:Mathematical models -- Research  全ての件名で検索
LCSH:Mathematical statistics -- Research  全ての件名で検索
LCSH:Bayesian statistical decision theory
分 類 LCC:QA276.18
DC22:519.5
書誌ID 1001240574
ISBN 9780521852258
NCID BA87386851
巻冊次 : hardback ; ISBN:9780521852258
NBN GBA859144
登録日 2009.09.18
更新日 2009.11.02

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