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A Multiple-testing approach to the m...

Desai, Tejas.

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A Multiple-testing approach to the multivariate Behrens-Fisher problem :/ Tejas Desai.
其他題名:	with simulations and examples in SAS® /
作者:	Desai, Tejas.
出版者:	New York :Springer, : c2013.,
面頁冊數:	v, 55 p. :ill ;24 cm.
標題:	Bayesian statistical decision theory. -
ISBN:	9781461464426 (pbk.)
ISSN:	2191544X

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

A Multiple-testing approach to the multivariate Behrens-Fisher problem :with simulations and examples in SAS® /Tejas Desai. - New York :Springer,c2013. - v, 55 p. :ill ;24 cm. - SpringerBriefs in Statistics. - SpringerBriefs in statistics..

Includes bibliographical references (p. 55).

Introduction --

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 --

ISBN: 9781461464426 (pbk.)

ISSN: 2191544X

LCCN: 2013931259Subjects--Topical Terms:

551404
Bayesian statistical decision theory.

LC Class. No.: QA279.5 / .D45 2013

Dewey Class. No.: 519.5/42

A Multiple-testing approach to the multivariate Behrens-Fisher problem : = with simulations and examples in SAS® /
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505 0 # $t Introduction -- $t On Testing for Multivariate Normality -- $t On Testing Equality of Covariance Matrices -- $t On Heteroscedastic MANOVA.
520 # $a 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 -- $c Source other than Library of Congress.
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