Optimal Designs for the Prediction of Individual Parameters in Hierarchical Models

Maryna Prus · Rainer Schwabe

34 citations0/0 files storedJournal of the Royal Statistical Society Series B (Statistical Methodology)

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Optimal Experimental Design Methods Statistical Methods in Clinical Trials Statistical Methods and Bayesian Inference

Abstract

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.

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1993Optimal design of experiments 1974General Equivalence Theory for Optimum Designs (Approximate Theory)1980Optimal Design 1997Model-Oriented Design of Experiments 1999Model-Oriented Design of Experiments 2013Optimal Design for Nonlinear Response Models 1994On the Equivalence of Constrained and Compound Optimal Designs 1974Experimental Design in a Class of Models

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