Otto-von-Guericke-Universität Magdeburg

 
 
 
 
 
 
 
 

10-30

by M. Niaparast, R. Schwabe

 

Preprint series: 10-30 , Preprints

MSC:
62K05 Optimal designs
62J12 Generalized linear models

Abstract: Count data may be described by a Poisson regression model. If random coefficients are involved, maximum likelihood is not feasible and alternative estimation methods have to be employed. For the approach based on quasi-likelihood estimation a characterization of design optimality is derived and optimal designs are determined numerically for an example with random slope parameters.

Keywords: Generalized Linear Mixed Model, Optimal Design, Poisson Regression, Quasi- Likelihood, Random Coefficients

Upload: 2010-11-26

 


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Letzte Änderung: 10.02.2016 - Ansprechpartner: Pierre Krenzlin