A unified treatment is given for a family of bivariate discrete distributions with marginals and conditionals being convoluted Poisson distributions. Using generating functions a number of results are obtained for probabilities, cumulants and factorial cumulants. Conditional distributions are also examined. Five illustrative examples are presented in detail. Applications to accident data are indicated.Convoluted Poisson distributions Bivariate Short Probability generating function Conditional distributions Accident data
We study the convolution of compound negative binomial distributions with arbitrary parameters. The ...
Compound Poisson distributions (CPD's) are frequently used as alternatives in studying situations wh...
Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statist...
Recently, Alkarni and Oraby (2012) obtained general forms for some properties of the compound class ...
In the present thesis we deal with the bivariate Poisson distribution. A trivariate reduction method...
In the present thesis we deal with the bivariate Poisson distribution. A trivariate reduction method...
The bivariate forms of many important discrete probability distributions have been studied by many s...
The mathematical/statistical concepts of pseudo compound Poisson and partition representations in di...
A method of constructing bivariate distributions is given. The method utilises a generalised trivari...
Ciertas propiedades de una clase de distribuciones Poisson compuesta bivariadas y una aplicación a d...
Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statist...
Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statist...
In this paper, a bivariate compound Poisson model is proposed for calculating the aggregate claims d...
Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statist...
In the last years, an important part of Enrique Castillo’s research work, has been focused on statis...
We study the convolution of compound negative binomial distributions with arbitrary parameters. The ...
Compound Poisson distributions (CPD's) are frequently used as alternatives in studying situations wh...
Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statist...
Recently, Alkarni and Oraby (2012) obtained general forms for some properties of the compound class ...
In the present thesis we deal with the bivariate Poisson distribution. A trivariate reduction method...
In the present thesis we deal with the bivariate Poisson distribution. A trivariate reduction method...
The bivariate forms of many important discrete probability distributions have been studied by many s...
The mathematical/statistical concepts of pseudo compound Poisson and partition representations in di...
A method of constructing bivariate distributions is given. The method utilises a generalised trivari...
Ciertas propiedades de una clase de distribuciones Poisson compuesta bivariadas y una aplicación a d...
Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statist...
Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statist...
In this paper, a bivariate compound Poisson model is proposed for calculating the aggregate claims d...
Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statist...
In the last years, an important part of Enrique Castillo’s research work, has been focused on statis...
We study the convolution of compound negative binomial distributions with arbitrary parameters. The ...
Compound Poisson distributions (CPD's) are frequently used as alternatives in studying situations wh...
Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statist...