Influence diagnostics for two-component Poisson mixture regression models: applications in public health

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Influence diagnostics for two-component Poisson mixture regression models: applications in public health

In many medical and health applications, Poisson mixture regression models are commonly used to analyse heterogeneous count data. Motivated by two data sets drawn from public health studies, influence diagnostics are proposed for assessing the sensitivity of the fitted two-component Poisson mixture...

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Bibliographic Details
Main Authors:	Xiang, Liming, Lee, Andy, Yau, K., Fung, W.
Format:	Journal Article
Published:	John Wiley and Sons 2005
Subjects:	count data Poisson mixture regression random effects local influence heterogeneity diagnostics
Online Access:	http://hdl.handle.net/20.500.11937/25537

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