Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models
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DOI: 10.1080/02664763.2022.2096875
Abstract: ABSTRACT Unobserved heterogeneity causing overdispersion and the excessive number of zeros take a prominent place in the methodological development on count modeling. An insight into the mechanisms that induce heterogeneity is required for better understanding… read more here.
Keywords: heterogeneity; overdispersion zero; overdispersion; count data ... See more keywords