Abstract: Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur. In this paper we study regression models associated with the generalized Poisson distribution (Consul (1989)). These regression models which have been used for about 15 years do not belong to the class of generalized linear models co...

Count data with excessive zeros are ubiquitous in healthcare, medical, and scientific studies. There numerous articles that show how to fit Poisson other models which account for the zeros. However, many situations, besides zero, frequency of another count k tends be higher data. The zero- k-inflated distribution model (ZkIP) is appropriate such situations ZkIP essentially a mixture degenerate ...

This paper focuses on an extension of zero-inflated generalized Poisson (ZIGP) regression models for count data. We discuss generalized Poisson (GP) models where dispersion is modelled by an additional model parameter. Moreover, zero-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 ...

Bivariate Poisson regression models for ratemaking in car insurance has been previously used. They included zero-inflated models to account for the excess of zeros and the overdispersion in the data set. These models are now revisited in order to consider alternatives. A 2-finite mixture of bivariate Poisson regression models is used to demonstrate that the overdispersion in the data requires m...

Recently, count regression models have been used to model over dispersed and zero-inflated response variable that is affected by one or more covariates. Generalized Poisson (GP) negative binomial (NB) suggested deal with over-dispersion. Zero inflated such as the (ZIP), (ZINB) generalized Pois son (ZIGP) handle data many zeros. The aim of this study number C. caretta hatchlings dying from expos...

AIM The aim of this study was to compare alternatives methods for analysis of zero inflated count data and compare them with simple count models that are used by researchers frequently for such zero inflated data. BACKGROUND Analysis of viral load and risk factors could predict likelihood of achieving sustain virological response (SVR). This information is useful to protect a person from acqu...

Now a days, an important and interesting alternative in the control of tick-infestation in cattle is to select resistant animals, and identify the respective quantitative trait loci (QTLs) and DNA markers, for posterior use in breeding programs. The number of ticks/animal is characterized as a discrete-counting trait, which could potentially follow Poisson distribution. However, in the case of ...