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<図書>
Likelihood methods in statistics

責任表示 Thomas A. Severini
シリーズ Oxford statistical science series ; 22
データ種別 図書
出版者 New York : Oxford University Press
出版年 2000
本文言語 英語
大きさ xi, 380 p. : ill. ; 24 cm
概要 This book provides an introduction to the modern theory of likelihood-based statistical inference. This theory is characterized by several important features. One is the recognition that it is desira...le to condition on relevant ancillary statistics. Another is that probability approximations are based on saddlepoint and closely related approximations that generally have very high accuracy. A third aspect is that, for models with nuisance parameters, inference is often based on marginal or conditional likelihoods, or approximations to these likelihoods. These methods have been shown often to yield substantial improvements over classical methods. The book also provide an up-to-date account of recent results in the field, which has been undergoing rapid development. 続きを見る

所蔵情報


理系図3F 数理独自 023212000007841 SEVE/20/1 2000

書誌詳細

一般注記 Bibliography: p. [362]-373
Includes indexes
著者標目 *Severini, Thomas A. (Thomas Alan), 1959-
件 名 LCSH:Estimation theory
分 類 LCC:QA276.8
DC21:519.5/44
書誌ID 1001385562
ISBN 0198506503
NCID BA49640430
巻冊次 ISBN:0198506503
登録日 2009.11.02
更新日 2009.11.02

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