Negative binomial modelling is one of the most commonly used statistical tools for analysing
count data in ecology and biodiversity research. This is not surprising given the prevalence …

Abstract Analysis of count data is required in many areas of biometric interest. Often the
simple Poisson distribution is not appropriate, since an extra‐number of zero counts occur in …

This Set Contains: Continuous Multivariate Distributions, Volume 1, Models and
Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson …

Five regression models (Poisson, negative binomial, quasi-Poisson, the hurdle model and
the zero-inflated Poisson) were used to assess the relationship between the abundance of a …

This volume describes how to conceptualize, perform, and critique traditional generalized
linear models (GLMs) from a Bayesian perspective and how to use modern computational …

Patients are not alike! This simple truth is often ignored in the analysis of me-cal data, since
most of the time results are presented for the “average” patient. As a result, potential …

The compound Poisson INAR (1) model for time series of overdispersed counts is
considered. For such CPINAR (1) processes, explicit results are derived for joint moments …

Few studies have been conducted on the effect of air pollution on morbidity in Latin America.
This study analyzed the effects of air pollution on respiratory and circulatory morbidity in four …

Cardiovascular disease is the most common cause of death globally. Examining the
relationship between the extreme temperature events (eg heat and cold waves) and …

The aim of this study is to develop a model that correctly identifies and quantifies the
relationship between dengue and meteorological factors in Guangzhou, China. By cross …