Add to ORKGAbstract The bivariate t-distribution is a natural generalization of the bivariate normal distribution as a derived sampling distribution. For broad spectrum of researchers, the paper emphasizes the bivariate t-distribution as a mixture of bivariate normal distribution and an inverted gamma distribution. Moments and related characteristics of the distribution are presented from this perspective
AbstractA new class of bivariate distributions is presented in this paper. The procedure used in thi...
Published online: 16 Jan 2013[[abstract]]In this paper, a new type of bivariate generalized gamma (B...
In the present thesis we deal with the bivariate Poisson distribution. A trivariate reduction method...
Abstract: A truncated version of the bivariate t distribution is introduced. Unlike the t distributi...
A bivariate generalized gamma distribution (with marginal distributions of a gamma generalized type)...
Distribution, density function, standard deviations, normal distributionThe bivariate normal distrib...
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 ...
Multivariate normal distribution with various forms of covariate structure are extensively used in t...
Some well known results on the bivariate beta distribution have been reviewed. Corrected product mom...
In this paper, the earlier work on so-called \u22power-normal distribution\u22 is extended to a mult...
A new class of bivariate distributions is presented in this paper. The procedure used in this paper ...
In this thesis the utility of a bivariate gamma distribution is explored. In the field of nutritiona...
The thesis deals with three selected constructions of bivariate distributions. The first approach is...
AbstractA new class of bivariate distributions is presented in this paper. The procedure used in thi...
Published online: 16 Jan 2013[[abstract]]In this paper, a new type of bivariate generalized gamma (B...
In the present thesis we deal with the bivariate Poisson distribution. A trivariate reduction method...
Abstract: A truncated version of the bivariate t distribution is introduced. Unlike the t distributi...
A bivariate generalized gamma distribution (with marginal distributions of a gamma generalized type)...
Distribution, density function, standard deviations, normal distributionThe bivariate normal distrib...
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 ...
Multivariate normal distribution with various forms of covariate structure are extensively used in t...
Some well known results on the bivariate beta distribution have been reviewed. Corrected product mom...
In this paper, the earlier work on so-called \u22power-normal distribution\u22 is extended to a mult...
A new class of bivariate distributions is presented in this paper. The procedure used in this paper ...
In this thesis the utility of a bivariate gamma distribution is explored. In the field of nutritiona...
The thesis deals with three selected constructions of bivariate distributions. The first approach is...
AbstractA new class of bivariate distributions is presented in this paper. The procedure used in thi...
Published online: 16 Jan 2013[[abstract]]In this paper, a new type of bivariate generalized gamma (B...
In the present thesis we deal with the bivariate Poisson distribution. A trivariate reduction method...