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Title: Tests of some hypotheses on characteristic roots of covariance matrices not requiring normality assumptions (English)
Author: Rublík, František
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 37
Issue: 1
Year: 2001
Pages: [61]-78
Summary lang: English
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Category: math
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Summary: Test statistics for testing some hypotheses on characteristic roots of covariance matrices are presented, their asymptotic distribution is derived and a confidence interval for the proportional sum of the characteristic roots is constructed. The resulting procedures are robust against violation of the normality assumptions in the sense that they asymptotically possess chosen significance level provided that the population characteristic roots are distinct and the covariance matrices of certain quadratic functions of the random vectors are regular. The null hypotheses considered include hypotheses on proportional sums of characteristic roots, hypotheses on equality of characteristic roots of covariance matrices of the underlying populations or on equality of their sums. (English)
Keyword: violation of normality assumptions
MSC: 62E20
MSC: 62F25
MSC: 62F35
MSC: 62H10
MSC: 62H15
idZBL: Zbl 1263.62096
idMR: MR1825757
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Date available: 2009-09-24T19:37:10Z
Last updated: 2015-03-26
Stable URL: http://hdl.handle.net/10338.dmlcz/135389
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