Optimal Designs for Individual Prediction in Random Coefficient Regression Models

by Prus, M.; Schwabe, R.


Preprint series: 11-26, Preprints

62K05 Optimal designs


Abstract: In this note we present optimal designs for the estimation of the individual response ("prediction") for the participates in a study within the framework of hierarchical linear mixed models. These optimal designs may differ substantially from those propagated in the literature so far.

Keywords: Linear Mixed Model, Random Coefficient Regression, Optimal Design, Prediction

The author(s) agree, that this abstract may be stored as full text and distributed as such by abstracting services.

Letzte Änderung: 01.03.2018 - Ansprechpartner:

Sie können eine Nachricht versenden an: Pierre Krenzlin