While both zero-inflation and the unobserved heterogeneity in risks are prevalent issues modeling insurance claim counts, determination of Bayesian credibility premium counts with these features often demanding due to high computational costs associated a use MCMC. This article explores way approximate for claims frequency that follows zero-inflated Poisson distribution via variational Bayes ap...

Two types of animal-vehicle collision (AVC) data are commonly adopted for AVC-related risk analysis research: reported AVC data and carcass removal data. One issue with these two data sets is that they were found to have significant discrepancies by previous studies. In order to model these two types of data together and provide a better understanding of highway AVCs, this study adopts a diagon...

Count data with extra zeros are common in many medical applications. The zero-inflated Poisson (ZIP) regression model is useful to analyse such data. For hierarchical or correlated count data where the observations are either clustered or represent repeated outcomes from individual subjects, a class of ZIP mixed regression models may be appropriate. However, the ZIP parameter estimates can be s...

Bencana banjir merupakan bencana alam dengan total kejadian serta kematian yang lebih tinggi dibanding hidrometeorologi lainnya di Indonesia. Terdapat banyak faktor memengaruhi jumlah akibat banjir, salah satunya adalah tingkat kesejahteraan masyarakat. Penelitian ini bertujuan untuk mengimplementasikan metode Zero Inflated Poisson guna mengetahui faktor-faktor masyarakat korban meninggal Indon...

A new methodology to detect zero-inflation and overdispersion is proposed, based on the comparison of the expected sample extremes among convexly ordered distributions. The method is very flexible and includes tests for the proportion of structural zeros in zero-inflated models, tests to distinguish between two ordered parametric families and a new general test to detect overdispersion. The per...

background: the number of failed courses and semesters in students are indicatorsof their performance. these amounts have zero inflated (zi) distributions. using zi poisson and negative binomial distributions we can model these count data to find the associated factors and estimate the parameters. this study aims at to investigate the important factors related to the educational performance of ...

Hall (2000) has described zero-inflated Poisson and binomial regression models that include random effects to account for excess zeros and additional sources of heterogeneity in the data. The authors of the present paper propose a general score test for the null hypothesis that variance components associated with these random effects are zero. For a zero-inflated Poisson model with random inter...

Count data with excess zeros are common in social science research and can be considered as a special case of mixture structured data. We exploit the flexibility of the Bayesian analytic approach to model the mixture data structure inherent in zero-inflated count data by using the zero-inflated Poisson (ZIP) model. We discuss the importance of modelling excess-zero count data in social sciences...