AbstractWe introduce two new bivariate gamma distributions based on a characterizing property involving products of gamma and beta random variables. We derive various representations for their joint densities, product moments, conditional densities and conditional moments. Some of these representations involve special functions such as the complementary incomplete gamma and Whittaker functions. We also discuss ways to construct multivariate generalizations
Some well known results on the bivariate beta distribution have been reviewed. Corrected product mom...
In this article, we propose a bimatrix variate Kummer-gamma distribution. Several properties of this...
Abstract The bivariate t-distribution is a natural generalization of the bivariate normal distributi...
AbstractWe introduce two new bivariate gamma distributions based on a characterizing property involv...
We construct a bivariate distribution of (X, Y ) by assuming that the conditional distribution of Y ...
We construct a bivariate distribution of (X, Y ) by assuming that the conditional distribution of Y ...
Characterizations based on a product of independent random variables are presented for gamma and bet...
In this paper, we provide a new bivariate distribution obtained from a Kibble-type bivariate gamma d...
A bivariate generalized gamma distribution (with marginal distributions of a gamma generalized type)...
A bivariate distribution whose marginal are gamma and beta prime distribution is introduced. The dis...
AbstractIn this paper a new form of multivariate gamma is defined whose components are positively co...
In this article, we study several properties such as marginal and condi-tional distributions, joint ...
Tech ReportThe compatibility of pairs of conditional densities and the uniqueness of the resulting b...
The beta distribution is a basic distribution serving several purposes. It is used to model data, an...
The thesis deals with three selected constructions of bivariate distributions. The first approach is...
Some well known results on the bivariate beta distribution have been reviewed. Corrected product mom...
In this article, we propose a bimatrix variate Kummer-gamma distribution. Several properties of this...
Abstract The bivariate t-distribution is a natural generalization of the bivariate normal distributi...
AbstractWe introduce two new bivariate gamma distributions based on a characterizing property involv...
We construct a bivariate distribution of (X, Y ) by assuming that the conditional distribution of Y ...
We construct a bivariate distribution of (X, Y ) by assuming that the conditional distribution of Y ...
Characterizations based on a product of independent random variables are presented for gamma and bet...
In this paper, we provide a new bivariate distribution obtained from a Kibble-type bivariate gamma d...
A bivariate generalized gamma distribution (with marginal distributions of a gamma generalized type)...
A bivariate distribution whose marginal are gamma and beta prime distribution is introduced. The dis...
AbstractIn this paper a new form of multivariate gamma is defined whose components are positively co...
In this article, we study several properties such as marginal and condi-tional distributions, joint ...
Tech ReportThe compatibility of pairs of conditional densities and the uniqueness of the resulting b...
The beta distribution is a basic distribution serving several purposes. It is used to model data, an...
The thesis deals with three selected constructions of bivariate distributions. The first approach is...
Some well known results on the bivariate beta distribution have been reviewed. Corrected product mom...
In this article, we propose a bimatrix variate Kummer-gamma distribution. Several properties of this...
Abstract The bivariate t-distribution is a natural generalization of the bivariate normal distributi...
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