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A multiple-testing approach to the multivariate Behrens-Fisher problem : with simulations and examples in SAS® / Tejas Desai

データ種別 電子書籍
出版者 New York : Springer
出版年 c2013

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URL オンライン

EB2116198


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書誌ID OB01026564
本文言語 英語
一般注記 Includes bibliographical references (p. 55)
On Testing for Multivariate Normality -- On Testing Equality of Covariance Matrices -- On Heteroscedastic MANOVA.
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Summary: In statistics, the Behrens-Fisher problem is the problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the two populations are not assumed to be equal, based on two independent samples. In his 1935 paper, Fisher outlined an approach to the Behrens-Fisher problem. Since high-speed computers were not available in Fisher's time, this approach was not implementable and was soon forgotten. Fortunately, now that high-speed computers are available, this approach can easily be implemented using just a desktop or a laptop computer -- Source other than Library of Congress
著者標目 *Desai, Tejas A
統一書名標目 SpringerBriefs in statistics.
件　名 LCSH:Bayesian statistical decision theory
LCSH:Bioinformatics -- Statistical methods  全ての件名で検索
分　類 LCC:QA279.5
LCC:QH324.2
DC23:519.5/42
DC:570.285
巻冊次 pbk. : alk. paper ; ISBN:9781461464426 RefWorks出力（各巻）
pbk. : alk. paper ; ISBN:1461464420 RefWorks出力（各巻）
ebk. ; ISBN:9781461464433 RefWorks出力（各巻）
ebk. ; ISBN:1461464439 RefWorks出力（各巻）
資料種別 機械可読データファイル
所蔵情報へのリンク A multiple-testing approach to the multivariate Behrens-Fisher problem : with simulations and examples in SAS(R) / Tejas Desai
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