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. © 2008 Elsevier B.V. All rights reserved.
Publication Date
12-1-2008
Publication Title
Statistics and Probability Letters
Volume
78
Issue
17
Number of Pages
3096-3102
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.spl.2008.05.031
Copyright Status
Unknown
Socpus ID
54049087729 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/54049087729
STARS Citation
Schott, James R., "A Test For Independence Of Two Sets Of Variables When The Number Of Variables Is Large Relative To The Sample Size" (2008). Scopus Export 2000s. 9343.
https://stars.library.ucf.edu/scopus2000/9343