Title
A test for independence of two sets of variables when the number of variables is large relative to the sample size
Abstract
A simple statistic is proposed for testing the independence of two subvectors of a random vector having a multivariate normal distribution. The asymptotic null distribution of this statistic, as both the sample size and the number of variables in the random vector go to infinity, is shown to be normal. Some simulation results are obtained so as to assess the adequacy of the normal approximation and to compare the performance of this new test to that of the likelihood ratio test. (C) 2008 Elsevier B.V. All rights reserved.
Journal Title
Statistics & Probability Letters
Volume
78
Issue/Number
17
Publication Date
1-1-2008
Document Type
Article
First Page
3096
Last Page
3102
WOS Identifier
ISSN
0167-7152
Recommended Citation
"A test for independence of two sets of variables when the number of variables is large relative to the sample size" (2008). Faculty Bibliography 2000s. 946.
https://stars.library.ucf.edu/facultybib2000/946
Comments
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