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<図書>
The EM algorithm and extensions

責任表示 Geoffrey J. McLachlan, Thriyambakam Krishnan
シリーズ Wiley series in probability and mathematical statistics ; . Applied probability and statistics
データ種別 図書
出版者 New York : John Wiley
出版年 c1997
本文言語 英語
大きさ xvii, 274 p. : ill. ; 24 cm
概要 The Expectation-Maximization (EM) algorithm is a general-purpose algorithm for maximum likelihood estimation in a variety of situations best describes as "incomplete-data" problems and, following its ...evelopment in the late 1970s, has become a standard part of the statistician's repertoire. Writing for fellow statisticians, McLachlan (statistics, U. of Queensland, Australia) and Krishnan (chief statistical architect, SYSTAT Software, Cranes Software International Limited in Bangalore, India) present the principles and methodology of the EM algorithm and introduce the range of potential applications both for evidently incomplete-data situations, where there are missing data, truncated distributions, or censored or grouped observations, and for situations where the incompleteness of data is not natural or evident. This new edition has been updated and revised to account for developments in EM algorithm theory and applications over the past ten years. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com) 続きを見る

所蔵情報


中央図 自動書庫 005211997018404 心理/MA/201 1997

理系図3F 数理独自 023211997003202 MACL/20/3 1997

筑紫図 067222002000156 417/Mc 1997

書誌詳細

一般注記 "A Wiley-Interscience publication."
Includes bibliographical references (p. 243-260) and indexes
著者標目 *McLachlan, Geoffrey J., 1946-
Krishnan, T. (Thriyambakam), 1938-
件 名 LCSH:Expectation-maximization algorithms
LCSH:Estimation theory
LCSH:Missing observations (Statistics)
分 類 NDC9:417
LCC:QA276.8
DC20:519.5/44
書誌ID 1000286004
ISBN 0471123587
NCID BA29164998
巻冊次 ISBN:0471123587
登録日 2009.09.11
更新日 2009.11.02

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