Zero-Inflated Poisson model has found a wide variety of applications in recent years in statistical analyses of count data, especially in count regression models. Zero-Inflated Poisson model is characterized in this paper through a linear differential equation satisfied by its probability generating function [1] [2]
A natural approach to analyzing the effect of covariates on a count response variable is to use a P...
A project submitted to the faculty of the graduate school of the University of Minnesota in partial ...
The usual starting point for modeling count data (i.e., data that take only non-negative integer val...
There have been a lot of studies with respect to the popular Zero Inflated versions of some discrete...
L’analisi di dati di conteggio pu`o essere talvolta complessa a causa di un numero di zeri supe...
Inflated count distributions are used in situations where counts of an underlying distribution of a ...
Applications of zero-inflated count data models have proliferated in health economics. However, zero...
Count data often exhibits inflated counts for zero. There are numerous papers in the literature that...
This paper deals with the zero-inflated Poisson distribution. First the Poisson model is defined and...
Count data with excessive zeros are ubiquitous in healthcare, medical, and scientific studies. There...
The zero inflated models are usually used in modeling count data with excess zeros where the existen...
Power series distributions form a useful subclass of one-parameter discrete exponential families sui...
We apply a discrete version of the methodology in \cite{gauss} to obtain a recursive asymptotic expa...
In many experimental situations the sample may present excess zero observations and generally are us...
In health and social science and other fields where count data analysis is important, zero-inflated ...
A natural approach to analyzing the effect of covariates on a count response variable is to use a P...
A project submitted to the faculty of the graduate school of the University of Minnesota in partial ...
The usual starting point for modeling count data (i.e., data that take only non-negative integer val...
There have been a lot of studies with respect to the popular Zero Inflated versions of some discrete...
L’analisi di dati di conteggio pu`o essere talvolta complessa a causa di un numero di zeri supe...
Inflated count distributions are used in situations where counts of an underlying distribution of a ...
Applications of zero-inflated count data models have proliferated in health economics. However, zero...
Count data often exhibits inflated counts for zero. There are numerous papers in the literature that...
This paper deals with the zero-inflated Poisson distribution. First the Poisson model is defined and...
Count data with excessive zeros are ubiquitous in healthcare, medical, and scientific studies. There...
The zero inflated models are usually used in modeling count data with excess zeros where the existen...
Power series distributions form a useful subclass of one-parameter discrete exponential families sui...
We apply a discrete version of the methodology in \cite{gauss} to obtain a recursive asymptotic expa...
In many experimental situations the sample may present excess zero observations and generally are us...
In health and social science and other fields where count data analysis is important, zero-inflated ...
A natural approach to analyzing the effect of covariates on a count response variable is to use a P...
A project submitted to the faculty of the graduate school of the University of Minnesota in partial ...
The usual starting point for modeling count data (i.e., data that take only non-negative integer val...