Designs for generalized linear models with random block effects via information matrix approximations
The selection of optimal designs for generalized linear mixed models is complicated by the fact that the Fisher information matrix, on which most optimality criteria depend, is computationally expensive to evaluate. Our focus is on the design of experiments for likelihood estimation of parameters in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2015-09.
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| Subjects: | |
| Online Access: | Get fulltext Get fulltext |