Numerous studies have reported an association between fine particulate matter (PM 2.5)
and human health. Often these relationships are influenced by environmental factor that …

Presently, concentrations of fecal indicator bacteria (FIB) in raw water sources are not known
before water undergoes treatment, since analysis takes approximately 24 h to produce …

Abundant stocks of woody biomass that are associated with active forest management can
be used as fuel for bioenergy in many applications. Though factors driving large-scale …

Heat produced from woody biomass accounts for a significant portion of renewable energy
in the United States. Economic and federal policy factors driving institutional adoption of …

In this paper we contrast the two forms of the Com-negative binomial distributions presented
in Chakraborty and Ong (2016) and Zhang et al.(2018) as applied to over-dispersed count …

In this paper, we examine some often ignored or assumed problems relating with fitting
probability models to count data either exhibiting over, equi, or under dispersion. Of …

In this paper, we focus on the comparison of the bivariate zero-inflated Poisson inverse
Gaussian regression (BZIPIGR) type II model in two cases: with and without exposure …

In this paper, we t the hyper-Poisson, and the Mittag-Leer function (MLFD) distributions to
data exhibiting over and under dispersion. Three frequency data sets were employed with …

This research focused on parameter estimation and hypothesis testing of Bivariate Zero-
Inflated Poisson Inverse Gaussian Regression (BZIPIGR) type II. BZIPIGR model is a mixed …

The over dispersion case is one of the assumptions that violated in the data count model
using Poisson regression, which was caused by the presence of many zero values (more …