AbstractWe present two methods of constructing multivariate compound distributions and investigate the corresponding infinitely divisible and compound Poisson distributions. We then show that the multivariate compound Poisson distributions can be derived as the limiting distributions of the sums of independent random vectors
Nonsingular limit distributions are determined for sequences of affine transformations of random vec...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
Compound Poisson distributions (CPD's) are frequently used as alternatives in studying situations wh...
We present two methods of constructing multivariate compound distributions and investigate the corre...
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 ...
Within the theory of non-negative integer valued multivariate infinitely divisible distributions, th...
According to Sundt (2000): …When extending the concept of compound distributions to the multivari-at...
This paper proves a converse to a theorem of L. D. Brown and Y. Rinott concerning positive dependenc...
We study the convolution of compound negative binomial distributions with arbitrary parameters. The ...
The aim of this paper is to give some new characterizations of discrete compound Poisson distributio...
The starting point of this paper is the characterization of the compound-Poisson, i.e. the infinitel...
In this bachelor thesis we introduce several models of multivariate Poisson distribu- tion. At first...
During the past three decades or so there has been much work done concerning contagious probability ...
An upper bound for the total variation distance between the distribution of the sum of a sequence of...
Nonsingular limit distributions are determined for sequences of affine transformations of random vec...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
Compound Poisson distributions (CPD's) are frequently used as alternatives in studying situations wh...
We present two methods of constructing multivariate compound distributions and investigate the corre...
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 ...
Within the theory of non-negative integer valued multivariate infinitely divisible distributions, th...
According to Sundt (2000): …When extending the concept of compound distributions to the multivari-at...
This paper proves a converse to a theorem of L. D. Brown and Y. Rinott concerning positive dependenc...
We study the convolution of compound negative binomial distributions with arbitrary parameters. The ...
The aim of this paper is to give some new characterizations of discrete compound Poisson distributio...
The starting point of this paper is the characterization of the compound-Poisson, i.e. the infinitel...
In this bachelor thesis we introduce several models of multivariate Poisson distribu- tion. At first...
During the past three decades or so there has been much work done concerning contagious probability ...
An upper bound for the total variation distance between the distribution of the sum of a sequence of...
Nonsingular limit distributions are determined for sequences of affine transformations of random vec...
We derive upper bounds for the total variation distance, d, between the distributions of two random ...
Compound Poisson distributions (CPD's) are frequently used as alternatives in studying situations wh...
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