There have been a lot of studies with respect to the popular Zero Inflated versions of some discrete distributions, like Zero Inflated Poisson and Zero Inflated Negative Binomial distributions. They arise naturally in the literature when one aims to model count data sets having more than usual number of zeros by well known probability distributions. But it can be argued and established that Zero Inflated versions of continuous distributions also make sense. In this thesis, we first provide some motivations for studying Zero Inflated versions of exponential distribution and its variants and then study some parametric and Bayesian aspects related to the Zero Inflated Exponential Distribution
The performance of several models under different conditions of zero-inflation and dispersion are ev...
This article reviews some useful discrete models and compares their performance in terms of the high...
In this paper we propose two extensions of the Exponential model to describe income distributions. T...
There have been a lot of studies with respect to the popular Zero Inflated versions of some discrete...
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...
Zero-Inflated Poisson model has found a wide variety of applications in recent years in statistical ...
Most real life count data consists of some values that are more frequent than allowed by the common ...
Power series distributions form a useful subclass of one-parameter discrete exponential families sui...
The zero inflated models are usually used in modeling count data with excess zeros where the existen...
Count data often exhibits inflated counts for zero. There are numerous papers in the literature that...
The zero-inflated regression models are a very powerful tool for the analysis of counting data with ...
In health and social science and other fields where count data analysis is important, zero-inflated ...
Under certain simplifying assumptions, zero-modified distribution of order k has been introduced and...
The performance of several models under different conditions of zero-inflation and dispersion are ev...
The performance of several models under different conditions of zero-inflation and dispersion are ev...
This article reviews some useful discrete models and compares their performance in terms of the high...
In this paper we propose two extensions of the Exponential model to describe income distributions. T...
There have been a lot of studies with respect to the popular Zero Inflated versions of some discrete...
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...
Zero-Inflated Poisson model has found a wide variety of applications in recent years in statistical ...
Most real life count data consists of some values that are more frequent than allowed by the common ...
Power series distributions form a useful subclass of one-parameter discrete exponential families sui...
The zero inflated models are usually used in modeling count data with excess zeros where the existen...
Count data often exhibits inflated counts for zero. There are numerous papers in the literature that...
The zero-inflated regression models are a very powerful tool for the analysis of counting data with ...
In health and social science and other fields where count data analysis is important, zero-inflated ...
Under certain simplifying assumptions, zero-modified distribution of order k has been introduced and...
The performance of several models under different conditions of zero-inflation and dispersion are ev...
The performance of several models under different conditions of zero-inflation and dispersion are ev...
This article reviews some useful discrete models and compares their performance in terms of the high...
In this paper we propose two extensions of the Exponential model to describe income distributions. T...