Score tests for zero-inflation and overdispersion in two-level count data

Abstract

In a Poisson regression model, where observations are either clustered or represented by repeated measurements of counts, the number of observed zero counts is sometimes greater than the expected frequency by the Poisson distribution and the non-zero part of count data may be overdispersed. The zero-inflated negative binomial (ZINB) mixed regression model… (More)
DOI: 10.1016/j.csda.2012.11.006

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Cite this paper

@article{Lim2013ScoreTF, title={Score tests for zero-inflation and overdispersion in two-level count data}, author={Hwa Kyung Lim and Juwon Song and Byoung Cheol Jung}, journal={Computational Statistics & Data Analysis}, year={2013}, volume={61}, pages={67-82} }