首页 | 本学科首页   官方微博 | 高级检索  
     


A test for the equality of covariance matrices when the dimension is large relative to the sample sizes
Authors:James R. Schott
Affiliation:Department of Statistics and Actuarial Science, University of Central Florida, Orlando, FL 32816-2370, USA
Abstract:A simple statistic is proposed for testing the equality of the covariance matrices of several multivariate normal populations. The asymptotic null distribution of this statistic, as both the sample sizes and the number of variables go to infinity, is shown to be normal. Consequently, this test can be used when the number of variables is not small relative to the sample sizes and, in particular, even when the number of variables exceeds the sample sizes. The finite sample size performance of the normal approximation for this method is evaluated in a simulation study.
Keywords:Equal covariance matrices   High-dimensional data   Singular sample covariance matrix
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号