Two-component Poisson mixture regression modelling of count data with bivariate random effects
نویسندگان
چکیده
منابع مشابه
Two-component Poisson mixture regression modelling of count data with bivariate random effects
Two-component Poisson mixture regression is typically used to model heterogeneous count outcomes that arise from two underlying sub-populations. Furthermore, a random component can be incorporated into the linear predictor to account for the clustering data structure. However, when including random effects in both components of the mixture model, the two random effects are often assumed to be i...
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ژورنال
عنوان ژورنال: Mathematical and Computer Modelling
سال: 2007
ISSN: 0895-7177
DOI: 10.1016/j.mcm.2007.02.003