Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models
Statistics Theory
2020-08-11 v2 Statistics Theory
Abstract
The subject of this work is two treatment groups random coefficient regression models, in which observational units receive some group-specific treatments. We provide A- and D-optimality criteria for the estimation of the fixed parameter and the prediction of the random effects. We illustrate the behavior of optimal designs by a simple example.
Cite
@article{arxiv.1812.09514,
title = {Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models},
author = {Maryna Prus},
journal= {arXiv preprint arXiv:1812.09514},
year = {2020}
}