Probability and statistical inference

＜図書＞
Probability and statistical inference

責任表示	Nitis Mukhopadhyay
シリーズ	Statistics : textbooks and monographs ; v. 162
データ種別	図書
出版情報	New York : Marcel Dekker , c2000
本文言語	英語
大きさ	xviii, 665 p. : ill. ; 24 cm
概要	This textbook for first-year graduate students reveals the theory of probability and statistical inference using worked examples, exercises, and computer simulations. Mukhopadhyay (University of Conn...cticut) first introduces the basic ideas and techniques in probability theory, then studies more rigorous topics such as the Helmert transformation for normal distributions; convergence in probability and distribution; the central limit theorem for the sample variance; sample distributions and the Cornish-Fisher expansions; the fundamentals of sufficiency, information, completeness, and ancillary; Basu's Theorem; maximum likelihood estimators (MLEs); the Neyman- Pearson theory of most powerful (MP); Bayesian methods; and variance stabilizing transformations. 続きを見る

状態	巻次	所蔵場所	請求記号	刷年	文庫名称	資料番号	コメント	予約・取寄	複写申込	自動書庫
		理系図3F 数理独自	MUKH/30/2	2000		023212000001164		予約・取寄			予約・取寄

一般注記	Bibliography: p. 633-648 Includes index
著者標目	*Mukhopadhyay, Nitis, 1950-
書誌ID	1001401972
ISBN	0824703790
NCID	BA46603755
巻冊次	ISBN:0824703790
登録日	2009.11.02
更新日	2009.11.02