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<図書>
Statistical evidence : a likelihood paradigm

責任表示 Richard M. Royall
シリーズ Monographs on statistics and applied probability ; 71
データ種別 図書
出版者 Boca Raton, FL : Chapman & Hall/CRC
出版年 1999
本文言語 英語
大きさ xvi, 191 p. : ill. ; 23 cm
概要 Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data i... this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths & weaknesses of the work of Neyman & Pearson & the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement & control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale & an elegant simplicity, no longer forcing the reader to choose between frequentist & Bayesian statistics. 続きを見る

所蔵情報


中央図 自動書庫 017212000005964 417/R 79/20000596 1999

書誌詳細

一般注記 Originally published: London ; New York : Chapman & Hall, 1997
"First edition 1997, First CRC Press reprint 1999"
Bibliography: p. [181]-187
Includes index
著者標目 *Royall, Richard M.
件 名 LCSH:Estimation theory
LCSH:Probabilities
LCSH:Mathematical statistics
分 類 LCC:QA276.8
DC21:519.5/44
書誌ID 1000845862
ISBN 0412044110
NCID BA45073361
巻冊次 ISBN:0412044110
登録日 2009.09.15
更新日 2009.09.15

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