The effect of mixing-distribution misspecification in conjugate mixture models

Canadian Journal of Statistics

Volumn 24, Issue 3, 1996, Pages 307-318

  Gustafson, Paul ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Beta binomial; Hierarchical model; Mixture model; Model misspecification; Robustness

Indexed keywords

EID: 0030304205     PISSN: 03195724     EISSN: None     Source Type: Journal    
DOI: 10.2307/3315741     Document Type: Article

References (10)

1. Hampel, F.R., Ronchetti, E.M, Rousseeuw, P.J., and Stahel, W.A. (1986). Robust Statistics: The Approach Based on Influence Functions. Wiley, New York.
2. Karlin, S., and Studden, W.J. (1966). Tchebycheff Systems: With Applications in Analysis and Statistics. Wiley, New York.
3. Lawless, J.F. (1982). Statistical Models and Methods for Lifetime Data. Wiley, New York.
4. Liang, K.Y., and Zeger, S.L. (1986). Longitudinal data analysis using generalised linear models. Biometrika, 73, 13-22.
5. Neuhaus, J.M., Hauck, W.W., and Kalbfleisch, J.D. (1992). The effects of mixture distribution misspecification when fitting mixed-effects logistic models. Biometrika, 79, 755-762.
6. Neuhaus, J.M., Kalbfleisch, J.D., and Hauck, W.W. (1991). A comparison of cluster-specific and population-averaged approaches for analyzing correlated binary data. Internat. Statist. Rev., 59, 25-35.
7. Neuhaus, J.M., Kalbfleisch, J.D., and Hauck, W.W. (1994). Conditions for consistent estimation in mixed-effects models for binary matched-pair data. Canad. J. Statist., 22, 139-148.
8. Sivaganesan, S., and Berger, J. (1993). Robust Bayesian analysis of the binomial empirical Bayes problem. Canad. J. Statist., 21, 107-119.
9. Skibinsky, M. (1967). The range of the (n+1)th moment for distributions on [0, 1]. J. Appl. Probab., 4, 543-552.
10. White, H.A. (1982). Maximum likelihood estimation of misspecified models. Econometrica, 50, 1-25.