Uniformly more powerful tests for a subset of the components of a Normal Mean Vector

Abstract

A class of tests that are uniformly more powerful than the likelihood ratio test is derived for testing the hypothesis about the means of a subset of the components of a multivariate normal distribution with unknown covariance matrix, when the means of the other subset of the components are known.