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
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