Nonnull distribution of likelihood ratio criterion for reality of covariance matrix |
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Authors: | E.M. Carter C.G. Khatri M.S. Srivastava |
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Affiliation: | Department of Mathematics, University of Toronto, Toronto, Canada M5S 1A1 |
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Abstract: | In this paper the distribution of the likelihood ratio test for testing the reality of the covariance matrix of a complex multivariate normal distribution is investigated. Some simplifications in the noncentral distribution are made and the noncentral distribution is derived for the special case where the rank of the noncentrality matrix is two. In the null case exact expressions for the distribution are given up to p = 6, and percentage points are tabulated. These percentage points were compared with percentage points derived from an asymptotic expansion of the distribution, and the accuracy of the approximation was found to be sufficient for several practical situations. |
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Keywords: | 62E15 62H10 62E20 62H15 Complex Wishart distribution Beta densities Likelihood ratio statistic Asymptotic |
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