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<図書>
An introduction to categorical data analysis

責任表示 Alan Agresti
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 : Wiley
出版年 c1996
本文言語 英語
大きさ xi, 290 p. : ill. ; 25 cm
概要 An increasing number of social, behavioral and biomedical scientists, researchers in public health marketing, education, biology and agriculture are using statistical methods for categorizing data. To...meet the needs of practitioners as well as students Agresti (statistics emeritus, U. of Florida) provides and introduction to the most important methods of performing categorical data analysis, covering contingency tables, generalized linear models, logistic regression, building and applying logistic regression models, multicategory logit models, loglinear models for contingency tables, models for matched pairs, modeling co-related or clustered responses, random effects in generalized linear mixed models and an historical tour of categorical data analysis. Agresti includes exercises and answers. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com) 続きを見る

所蔵情報


理系図3F 数理独自 023211996006525 AGRE/20/3 1996

書誌詳細

一般注記 "A Wiley-Interscience publication."
Includes bibliographical references (p. 281-282) and index
著者標目 *Agresti, Alan
件 名 LCSH:Multivariate analysis
分 類 NDC8:417
NDC9:417
LCC:QA278
DC20:519.5/35
書誌ID 1001391300
ISBN 0471113387
NCID BA27591047
巻冊次 ISBN:0471113387
登録日 2009.11.02
更新日 2009.11.02

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