Maximum likelihood estimation and inference with examples in R, SAS, and ADMB /

"Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the mos...

詳細記述

保存先:
書誌詳細
第一著者: Millar, R. B. (Russell B.)
団体著者: ebrary, Inc
フォーマット: 電子媒体 eBook
言語:英語
出版事項: Chichester, Sussex, U.K. ; Hoboken, N.J. : Wiley, 2011.
シリーズ:Statistics in practice.
主題:
オンライン・アクセス:An electronic book accessible through the World Wide Web; click to view
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その他の書誌記述
要約:"Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the most widely used statistical software package--and the data sets and SAS code are provided on a Web site, enabling the reader to use the methods to solve problems in their own work. This book serves as an ideal text for applied scientists and researchers and graduate students of statistics"--
物理的記述:xvi, 357 p. : ill.
書誌:Includes bibliographical references and index.