A multiple-testing approach to the multivariate Behrens-Fisher problem
General Material Designation
[Book]
Other Title Information
with simulations and examples in SAS® /
First Statement of Responsibility
Tejas Desai
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
c2013
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (59 p.)
SERIES
Series Title
SpringerBriefs in Statistics
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references
CONTENTS NOTE
Text of Note
On Testing for Multivariate Normality -- On Testing Equality of Covariance Matrices -- On Heteroscedastic MANOVA
0
SUMMARY OR ABSTRACT
Text of Note
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
OTHER EDITION IN ANOTHER MEDIUM
Title
A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem : with Simulations and Examples in SAS®