Generalized Variances Ratio Test for Comparing k Covariance Matrices from Dependent Normal Populations

Abstract

New tests based on the ratio of generalized variances are presented to compare covariance matrices from dependent normal populations. Monte Carlo simulation concluded that the tests considered controlled the Type I error, providing empirical probabilities that were consistent with the nominal level stipulated.