On Optimal Design for a Heteroscedastic Model Arising from Random Coefficients

by Graßhoff, U.; Holling, H.; Schwabe, R.


Preprint series: 09-07, Preprints

62K05 Optimal designs
62J05 Linear regression


Abstract: Random coefficients may result in heteroscedasticity of observations. For situations, where only one observation is available per individual, we derive optimal designs based on the geometry of the design locus.

Keywords: optimal design, random coefficient regression, linear mixed model, heteroscedastic linear model, geometry of design locus

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

Letzte Änderung: 01.03.2018 - Ansprechpartner:

Sie können eine Nachricht versenden an: Webmaster