A general maximum likelihood analysis of measurement error in generalized linear models
β Scribed by Murray Aitkin; Roberto Rocci
- Book ID
- 110331424
- Publisher
- Springer US
- Year
- 2002
- Tongue
- English
- Weight
- 125 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0960-3174
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π SIMILAR VOLUMES
The main statistical packages for analysing linear models in categorical data either permit a wide application of the weighted least-squares methodology or conΓΏne the application of the maximumlikelihood approach to speciΓΏc forms of these models. In this work, the likelihood equations for the genera
In this paper, we derive general formulae for second-order biases of maximum likelihood estimates in overdispersed generalized linear models, thus generalizing results by Cordeiro and McCullagh (J. Roy. Statist. Soc. Ser. B 53 (1991) 629), and Botter and Cordeiro (Statist. Comput. Simul. 62 (1998) 9