We study the convolution of compound negative binomial distributions with arbitrary parameters. The exact expression and also a random parameter representation are obtained. These results generalize some recent results in the literature. An application of these results to insurance mathematics is discussed. The sums of certain dependent compound Poisson variables are also studied. Using the connection between negative binomial and gamma distributions, we obtain a simple random parameter representation for the convolution of independent and weighted gamma variables with arbitrary parameters. Applications to the reliability of m-out-of-n:G systems and to the shortest path problem in graph theory are also discussed
We consider the class of those distributions that satisfy Gauss's principle (the maximum likelihood ...
Abst ract. The present article shows that a limiting argument that is essentially the law of small n...
A new bivariate model is introduced by compounding negative binomial and geometric distributions. Di...
In this note we are concerned with the sums S=Y1+Y2+...+Yn, where every constituent follows the nega...
AbstractWe present two methods of constructing multivariate compound distributions and investigate t...
summary:The compound Poisson-gamma variable is the sum of a random sample from a gamma distribution ...
summary:The main goal of this paper is to study the accuracy of approximation for the distributions ...
A new approach to the study of the distributions of sums of n Bernoulli variables by conditional dis...
The probability distribution of a random variable created by summing a random number of the independ...
We present two methods of constructing multivariate compound distributions and investigate the corre...
It is shown that the negative binomial distribution NB(r,p) may arise out of an identical but depend...
During the past three decades or so there has been much work done concerning contagious probability ...
AbstractThree new properties are derived. The first one relates to the distribution ofUG+G′, where t...
The mathematical/statistical concepts of pseudo compound Poisson and partition representations in di...
A unified treatment is given for a family of bivariate discrete distributions with marginals and con...
We consider the class of those distributions that satisfy Gauss's principle (the maximum likelihood ...
Abst ract. The present article shows that a limiting argument that is essentially the law of small n...
A new bivariate model is introduced by compounding negative binomial and geometric distributions. Di...
In this note we are concerned with the sums S=Y1+Y2+...+Yn, where every constituent follows the nega...
AbstractWe present two methods of constructing multivariate compound distributions and investigate t...
summary:The compound Poisson-gamma variable is the sum of a random sample from a gamma distribution ...
summary:The main goal of this paper is to study the accuracy of approximation for the distributions ...
A new approach to the study of the distributions of sums of n Bernoulli variables by conditional dis...
The probability distribution of a random variable created by summing a random number of the independ...
We present two methods of constructing multivariate compound distributions and investigate the corre...
It is shown that the negative binomial distribution NB(r,p) may arise out of an identical but depend...
During the past three decades or so there has been much work done concerning contagious probability ...
AbstractThree new properties are derived. The first one relates to the distribution ofUG+G′, where t...
The mathematical/statistical concepts of pseudo compound Poisson and partition representations in di...
A unified treatment is given for a family of bivariate discrete distributions with marginals and con...
We consider the class of those distributions that satisfy Gauss's principle (the maximum likelihood ...
Abst ract. The present article shows that a limiting argument that is essentially the law of small n...
A new bivariate model is introduced by compounding negative binomial and geometric distributions. Di...