Otto-von-Guericke-Universität Magdeburg



by M. Niaparast, R. Schwabe


Preprint series: 10-30 , Preprints

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


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

Letzte Änderung: 10.02.2016 - Ansprechpartner: Pierre Krenzlin