Optimal designs for the prediction of individual parameters in hierarchical models

Summary Characterizations of optimal designs are derived for the prediction of individual response curves within the framework of hierarchical linear mixed models. It is shown that the so‐obtained optimal designs may differ substantially from those propagated in the literature so far and that the latter may become useless in terms of their performance.