Equivalence theorems for compound design problems with application in mixed models
Statistics Theory
2020-07-30 v1 Methodology
Statistics Theory
Abstract
In the present paper we consider design criteria which depend on several designs simultaneously. We formulate equivalence theorems based on moment matrices (if criteria depend on designs via moment matrices) or with respect to the designs themselves (for finite design regions). We apply the obtained optimality conditions to the multiple-group random coefficient regression models and illustrate the results by simple examples.
Cite
@article{arxiv.2007.14971,
title = {Equivalence theorems for compound design problems with application in mixed models},
author = {Maryna Prus},
journal= {arXiv preprint arXiv:2007.14971},
year = {2020}
}