-inflated models in which overdispersion is assumed to be caused by an excessive number of zeros are discussed. In addition to ZIGP … regression introduced by Famoye and Singh (2003), we now allow for regression on the overdispersion and zero-inflation parameters …

Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model …

of tables, there are tendencies for overdispersion in which the variance of the outcome or response exceeds the nominal …

overdispersion and zeroinflation occur. We study in this paper regression models based on the generalized Poisson distribution …

When modelling insurance claim count data, the actuary often observes overdispersion and an excess of zeros that may be … caused by unobserved heterogeneity. A common approach to accounting for overdispersion is to consider models with some … models. This approach has interesting features: first, it allows for overdispersion and the zero-inflated model represents a …

account past trends in high-frequency (daily) deal data and the decomposition of the conditional overdispersion into short …