1. Booth, J. G. and Hobert, J. P. (1999), Maximum generalized linear mixed model likelihood with an automated Monte Carlo EM algorithm, J. Roy. Statist. Soc. B 61, 265–285.
2. Box, G. E. and Tiao, G. C. (1973), Bayesian Inference in Statistical Analysis, Addison-Wesley, Reading, MA.
3. Breslow, N. E. and Clayton, D. G. (1993), Approximate inference in generalized linear mixed models, J. Amer. Statist. Assoc. 88, 9–25.
4. Brooks, S. P., Morgan, B. J. T., Ridout, M. S., and Pack, S. E. (1997), Finite mixture models for proportions, Biometrics 53, 1097–1115.
5. Clayton, D. (1996), Comment on Lee and Nelder: Hierarchical generalized linear models, J. Roy. Statist. Soc. B, 657–659.