Title
Some High-Dimensional Tests For A One-Way Manova
Keywords
High-dimensional data; Testing the equality of mean vectors; Tests of dimensionality
Abstract
A statistic is proposed for testing the equality of the mean vectors in a one-way multivariate analysis of variance. The asymptotic null distribution of this statistic, as both the sample size and the number of variables go to infinity, is shown to be normal. Thus, this test can be used when the number of variables is not small relative to the sample size. In particular, it can be used when the number of variables exceeds the degrees of freedom for error, a situation in which standard MANOVA tests are invalid. A related statistic, also having an asymptotic normal distribution, is developed for tests concerning the dimensionality of the hyperplane formed by the population mean vectors. The finite sample size performances of the normal approximations are evaluated in a simulation study. © 2006 Elsevier Inc. All rights reserved.
Publication Date
10-1-2007
Publication Title
Journal of Multivariate Analysis
Volume
98
Issue
9
Number of Pages
1825-1839
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.jmva.2006.11.007
Copyright Status
Unknown
Socpus ID
34548834688 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/34548834688
STARS Citation
Schott, James R., "Some High-Dimensional Tests For A One-Way Manova" (2007). Scopus Export 2000s. 6347.
https://stars.library.ucf.edu/scopus2000/6347