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This paper states and proves the asymptotic properties of constrained generalized least squares estimators in the analysis of covariance structures in multiple populations with arbitrary distributions of variables. Asymptotic chi-square tests are also presented to permit evaluation of the goodness-of-fit of models. The currently known results for multiple population models based on variables that are multivariate normally distributed are obtained as a special case.
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