Minimum hellinger distance estimation for k-component Poisson mixture with random effects
Summary. The k-component Poisson regression mixture with random effects is an effective model in describing the heterogeneity for clustered count data arising from several latent subpopulations. However, the residual maximum likelihood estimation (REML) of regression coefficients and variance compon...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Blackwell Publishing Ltd
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/8902 |