참고문헌
- Barndorff-Nielsen, O. E. and Cox, D. R. (1989). Asymptotic techniques for use in Statistics, Chapman and Hall, New York
- Besag, J., Green, P., Higdon, D. and Mengersen, K. (1995). Bayesian computation and stochastic systems (with discussion). Statistical Science, 10, 3–66
- Booth, J. G. and Hobert, J. P. (1999). Maximum generalized linear mixed model likelihood with an automated Monte Carlo EM algorithm, Journal of the Royal Statistical Society B, 61, 265–285 https://doi.org/10.1111/1467-9868.00176
- Breslow, N. E. and Clayton, D. G. (1993). Approximate inference in generalized linear mixed models, Journal of the American Statistical Association, 88, 9–25
- Efron, B. (1996). Empirical Bayes methods for combining likelihoods (with discussion). Journal of the American Statistical Association, 91, 538–565
- Gaver, D. P. and O'Muircheartaigh, I. G. (1987). Robust empirical Bayes analysis of event rates, Technometrics, 29, 1–15
- Gueorguieva, R. (2001). A multivariate generalized linear mixed model for joint modelling of clustered outcomes in the exponential family, Statistical Modelling, 1, 177–193
- Ha, I. D., Lee, Y. and Song, J.-K. (2001). Hierarchical likelihood approach for frailty models, Biometrika, 88, 233–243
- Ha, I. D., Lee, Y. and MacKenzie, G. (2007). Model selection for multi-component frailty models, Statistics in Medicine, 26, 4790–4807 https://doi.org/10.1002/sim.2879
- Huber, P., Ronchetti, E. and Victoria-Feser, M.-P. (2004). Estimation of generalized linear latent variable models, Journal of the Royal Statistical Society B, 66, 893–908 https://doi.org/10.1111/j.1467-9868.2004.05627
- Jiang, J. (2007). Linear and generalized linear mixed models and their applications, Springer, New York
- Lee, Y. and Nelder, J. A. (1996). Hierarchical generalized linear models (with discussion), Journal of the Royal Statistical Society B, 58, 619–678
- Lee, Y. and Nelder, J. A. (2001). Hierarchical generalized linear models: a synthesis of generalized linear models, random-effect models and structured dispersions, Biometrika, 88, 987–1006 https://doi.org/10.1093/biomet/88.4.987
- Lee, Y., Nelder, J. A. and Pawitan (2006). Generalized linear models with random effects, Chapman and Hall, New York
- Nelder, J. A. and Wedderburn (1972). Generalized linear models (with discussion), Journal of the Royal Statistical Society A, 135, 370–384
- Shun, Z. (1997). Another look at the salamander mating data: a modified Laplace approximation approach, Journal of the American Statistical Association, 92, 341–349
- Thall, P. F. and Vail, S. C. (1990). Some covariance models for longitudinal count data with overdispersion, Biometrics, 46, 657–671