Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models

Maryna Prus

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arXiv · 1812.09514

Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models

Maryna Prus

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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.

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Maryna Prus. 2018-12-22. Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models. https://arxiv.org/abs/1812.09514

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