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

Autore: Tejas Desai
Editore: New York : Springer, ©2013.
Serie: SpringerBriefs in statistics.
Edizione/Formato:   eBook : Document : EnglishVedi tutte le edizioni e i formati
Banca dati:WorldCat
Sommario:
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  Per saperne di più…
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Genere/forma: Electronic books
Informazioni aggiuntive sul formato: Print version:
Desai, Tejas.
Multiple-testing approach to the multivariate Behrens-Fisher problem.
New York : Springer, c2013
(DLC) 2013931259
(OCoLC)843115544
Tipo materiale: Document, Risorsa internet
Tipo documento: Internet Resource, Computer File
Tutti gli autori / Collaboratori: Tejas Desai
ISBN: 9781461464433 1461464439
Numero OCLC: 828794266
Descrizione: 1 online resource (v, 55 p.)
Contenuti: On Testing for Multivariate Normality --
On Testing Equality of Covariance Matrices --
On Heteroscedastic MANOVA.
Titolo della serie: SpringerBriefs in statistics.
Responsabilità: Tejas Desai.
Maggiori informazioni:

Abstract:

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.

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