Abstract
In this paper we investigate geometric characterization of optimal designs for random coefficient regression models. We establish a generalization of Elving’s theorem for the D-optimality criterion for estimating the population parameters in random coefficient regression models. We also consider the geometric characterization of D-optimal designs for predicting the individual parameters.
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