Bayesian Influence Assessments in a Growth Curve Model with General Covariance Structure

The problem considered here is to assess the Bayesian influence on the unknown param- eter matrices in a grwoth curve model with the general covariance structure. Under the non- information prior distribution assumption, the Kullback-Leibler divergence is employed to eval- uate the effect of a designated response matrix on the posterior distribution of the parameter matrix