Missing data in the k-population multivariate normal patterned mean and covariance matrix testing and estimation problem
Ted H. Szatrowski · Communications in Statistics - Simulation and Computation · 1985
Maximum likelihood estimates and likelihood ratio statistics and their asymptotic null and nonnull distributions are derived for the k–population testing and estimation problem with patterned means and covariance matrices in the presence of missing data. These results are an extension of results of Szatrowski (1979) on the k–population complete data problem and Szatrowski (1983) on the one-population missing data problem. The standard delta method is the principal technique used for deriving the asymptotic nonnull distributions.