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

Verfasser/in: Tejas Desai
Verlag: New York : Springer, ©2013.
Serien: SpringerBriefs in statistics.
Ausgabe/Format   E-Book : Dokument : EnglischAlle Ausgaben und Formate anzeigen
Datenbank:WorldCat
Zusammenfassung:
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  Weiterlesen…
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Gattung/Form: Electronic books
Physisches Format Print version:
Desai, Tejas.
Multiple-testing approach to the multivariate Behrens-Fisher problem.
New York : Springer, ©2013
(DLC) 2013931259
(OCoLC)843115544
Medientyp: Dokument, Internetquelle
Dokumenttyp: Internet-Ressource, Computer-Datei
Alle Autoren: Tejas Desai
ISBN: 9781461464433 1461464439
OCLC-Nummer: 828794266
Beschreibung: 1 online resource (v, 55 pages).
Inhalt: On Testing for Multivariate Normality --
On Testing Equality of Covariance Matrices --
On Heteroscedastic MANOVA.
Serientitel: SpringerBriefs in statistics.
Verfasserangabe: Tejas Desai.

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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