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

著者: Tejas Desai
出版商: New York : Springer, ©2013.
丛书: SpringerBriefs in statistics.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
数据库:WorldCat
提要:
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  再读一些...
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类型/形式: Electronic books
附加的形体格式: Print version:
Desai, Tejas.
Multiple-testing approach to the multivariate Behrens-Fisher problem.
New York : Springer, ©2013
(DLC) 2013931259
(OCoLC)843115544
材料类型: 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: Tejas Desai
ISBN: 9781461464433 1461464439
OCLC号码: 828794266
描述: 1 online resource (v, 55 pages).
内容: On Testing for Multivariate Normality --
On Testing Equality of Covariance Matrices --
On Heteroscedastic MANOVA.
丛书名: SpringerBriefs in statistics.
责任: Tejas Desai.

摘要:

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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