Equivalence theorems for multiple-design problems with application in mixed models

Abstract

In the present paper we consider design criteria which depend on several designs simultaneously. We formulate equivalence theorems based on information matrices (if criteria depend on designs via information matrices) or with respect to the designs themselves (for finite design regions). We apply the obtained optimality conditions to multiple-group random coefficient regression models and illustrate the results by simple examples.