A mixture likelihood approach for generalized linear models
- 1 March 1995
- journal article
- Published by Springer Nature in Journal of Classification
- Vol. 12 (1) , 21-55
- https://doi.org/10.1007/bf01202266
Abstract
No abstract availableKeywords
This publication has 79 references indexed in Scilit:
- Improving the convergence rate of the em algorithm for a mixture model fitted to grouped truncated dataJournal of Statistical Computation and Simulation, 1992
- Latent class metric conjoint analysisMarketing Letters, 1992
- A maximum likelihood methodology for clusterwise linear regressionJournal of Classification, 1988
- The mixture method of clustering applied to three-way dataJournal of Classification, 1985
- Some Methods for Studying the Mixture of Two Normal (Lognormal) DistributionsJournal of the American Statistical Association, 1979
- Estimating Mixtures of Normal Distributions and Switching RegressionsJournal of the American Statistical Association, 1978
- Estimating the Dimension of a ModelThe Annals of Statistics, 1978
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974
- A New Approach to Estimating Switching RegressionsJournal of the American Statistical Association, 1972
- Estimation of Finite Mixtures of Distributions from the Exponential FamilyJournal of the American Statistical Association, 1969