Modeling road traffic crashes with zero-inflation and site-specific random effects
发布时间：2016-04-15
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发表刊物：Statistical Methods & Applications
摘要：Zero-inflated count models are increasingly employed in many fields in case of “zero-inflation”. In modeling road traffic crashes, it has also shown to be useful in obtaining a better model-fitting when zero crash counts are over-presented. However, the general specification of zero-inflated model can not account for the multilevel data structure in crash data, which may be an important source of over dispersion. This paper examines zero-inflated Poisson regression with site-specific random effects (REZIP) with comparison to random effect Poisson model and standard zero-inflated poison model…
合写作者：Chin H.C. (2010), Huang H.*
卷号：19(3),
页面范围：445-462.
是否译文：否
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