Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1148870 | Journal of Statistical Planning and Inference | 2013 | 11 Pages |
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
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Mehrdad Niaparast, Rainer Schwabe,