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Likelihood ratio tests for covariance hypotheses generating commutative quadratic subspaces
Authors:Mohamed Y. El Bassiouni
Affiliation:Institute Of Statistical Studies And Research Cairo University , Cairo, Egypt
Abstract:We show that the likelihood ratio (LR) tests, for covariance hypotheses in multivariate normal models, take the form of a product of powers of independent beta variates whenever the covariance matrices generate a commutative quadratic subspace (CQS), See Seely (1971), under both the model and the hypothesis.
Keywords:balanced mixed models  explicit max imum likelihood estimates  multivariate normal models  variance components
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