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<図書>
Bayesian models for categorical data

責任表示 Peter Congdon
シリーズ Wiley series in probability and mathematical statistics
データ種別 図書
出版情報 Chichester : J. Wiley , c2005
本文言語 英語
大きさ ix, 425 p. : ill., map ; 26 cm
概要 Using Bayesian methods to analyze data has become common in applied statistics, social sciences, and medicine, along with other disciplines requiring close work with a diverse set of data. In this und...rgraduate text, Congdon (Queen Mary College, U. of London) takes a practical and accessible approach, focusing on statistical computing and applied data as he covers the principles of Bayesian inference, model comparison and choice, regression for metric outcomes, models for binary and count outcomes, random effect and latent variable models for multi-category outcomes, ordinal regression, discrete spatial data, time series models for discrete variables, hierarchical and panel data models and missing-data models. Annotation ©2005 Book News, Inc., Portland, OR (booknews.com) 続きを見る

所蔵情報



理系図3F 数理独自 CONG/10/2 2005
023212005002720

書誌詳細

一般注記 Includes bibliographies and index
著者標目 *Congdon, P.
件 名 LCSH:Bayesian statistical decision theory
LCSH:Monte Carlo method
LCSH:Markov processes
LCSH:Multivariate analysis
分 類 LCC:QA279.5
DC22:519.5/42
書誌ID 1001224262
ISBN 0470092378
NCID BA72217180
巻冊次 ISBN:0470092378 ; XISBN:9780470092378
登録日 2009.09.18
更新日 2017.10.03