by Niaparast, M., Schwabe, R..
Series: 2010-30, Preprints
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.
Generalized Linear Mixed Model, Optimal Design, Poisson Regression, Quasi- Likelihood, Random Coefficients