Marginalized mixture models for count data from multiple source populations
نویسندگان
چکیده
منابع مشابه
Marginalized mixture models for count data from multiple source populations
Mixture distributions provide flexibility in modeling data collected from populations having unexplained heterogeneity. While interpretations of regression parameters from traditional finite mixture models are specific to unobserved subpopulations or latent classes, investigators are often interested in making inferences about the marginal mean of a count variable in the overall population. Rec...
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ژورنال
عنوان ژورنال: Journal of Statistical Distributions and Applications
سال: 2017
ISSN: 2195-5832
DOI: 10.1186/s40488-017-0057-4