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<図書>
Elements of Bayesian statistics

責任表示 Jean Pierre Florens, Michel Mouchart, Jean-Marie Rolin
シリーズ Monographs and textbooks in pure and applied mathematics ; 134
データ種別 図書
出版情報 New York : M. Dekker , c1990
本文言語 英語
大きさ xxxi, 499 p. ; 24 cm
概要 This important reference/text focuses on the theory of reduction of a Bayesian experiment considered as a (unique) probability measure on a product space (parameter space x sample space). Treating the...basic model and its essential properties, it comprehensively examines sufficiency, including its applications to identification and to comparison of models, as well as ancillarity, with its application to exogeneity. In addition, Elements of Bayesian Statistics details three developments of the basic model, including sequential decomposition of the sample information, asymptotic development in properties of reduction, and invariance ... features numerous examples illustrating the essential properties of the most important statistical models, such as normal, regression, and nonparametric models, stationary processes, and models with incidental parameters ... introduces original treatments of analyses of joint reductions, optimality of reductions and identification, Bayesian analysis of standard stationary processes, systematic relationships between sampling and Bayesian results, and others ... discusses densities with virtually all basic results proved for abstract probability measures ... and integrates a large number of topics in statistical methods. Book jacket.続きを見る

所蔵情報



芸工図 2F 書架 417/F34 1990
072032190003054

書誌詳細

一般注記 Bibliography: p. 463-487
Includes indexes
著者標目 *Florens, J. P. (Jean-Pierre), 1947-
Mouchart, Michel
Rolin, J. M.
件 名 LCSH:Bayesian statistical decision theory
分 類 LCC:QA279.5
DC20:519.5/42
NDC8:417
書誌ID 1000916717
ISBN 0824781236
NCID BA10001455
巻冊次 ISBN:0824781236
登録日 2009.09.16
更新日 2009.09.16