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<図書>
Linear model theory : univariate, multivariate, and mixed models

責任表示 Keith E. Muller, Paul W. Stewart
シリーズ Wiley series in probability and mathematical statistics
データ種別 図書
出版情報 Hoboken, NJ : Wiley-Interscience , c2006
本文言語 英語
大きさ xiv, 410 p. ; 25 cm
概要 Muller (biostatistics, University of Florida) and Stewart (biostatistics, University of North Carolina) present a unified treatment of linear model theory in order to clarify the distinctions among th... three classes of linear models used for data analysis and the development of new statistical methods. The authors begin with brief mathematical statements of models, procedures, and notation, and present data examples to illustrate the models. They then address distribution theory of multivariate Gaussian variables and quadratic forms, and detail methods for estimation, hypothesis testing, and confidence intervals. Final chapters concentrate on choosing a sample size. Chapter exercises are included. Basic knowledge of statistics, probability, and inference is assumed, and readers should have a background on matrix theory and applied univariate linear models from a matrix perspective. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com) 続きを見る

所蔵情報



理系図3F 数理独自 MULL/35/1 2006
023212006003800

書誌詳細

一般注記 Includes bibliographical references and index
著者標目 *Muller, Keith E.
Stewart, Paul Wilder
件 名 LCSH:Linear models (Statistics)
分 類 LCC:QA279
DC22:519.5
書誌ID 1001237690
ISBN 0471214884
NCID BA78225953
巻冊次 ISBN:0471214884 ; XISBN:9780471214885
登録日 2009.09.18
更新日 2017.10.03