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

Autor Tejas Desai
Vydavatel: New York : Springer, ©2013.
Edice: SpringerBriefs in statistics.
Vydání/formát:   e-kniha : Document : EnglishZobrazit všechny vydání a formáty
Databáze:WorldCat
Shrnutí:
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  Přečíst více...
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Žánr/forma: Electronic books
Doplňující formát: Print version:
Desai, Tejas.
Multiple-testing approach to the multivariate Behrens-Fisher problem.
New York : Springer, c2013
(DLC) 2013931259
(OCoLC)843115544
Typ materiálu: Document, Internetový zdroj
Typ dokumentu: Internet Resource, Computer File
Všichni autoři/tvůrci: Tejas Desai
ISBN: 9781461464433 1461464439
OCLC číslo: 828794266
Popis: 1 online resource (v, 55 p.)
Obsahy: On Testing for Multivariate Normality --
On Testing Equality of Covariance Matrices --
On Heteroscedastic MANOVA.
Název edice: SpringerBriefs in statistics.
Odpovědnost: Tejas Desai.
Více informací:

Anotace:

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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