Minimum hellinger distance estimation for k-component Poisson mixture with random effects

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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...

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Bibliographic Details
Main Authors:	Xiang, L., Yau, K. K. W., Hui, Y. V., Lee, Andy
Format:	Journal Article
Published:	Blackwell Publishing Ltd 2008
Online Access:	http://hdl.handle.net/20.500.11937/8902

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