Add to ORKGWe construct a bivariate distribution of (X, Y ) by assuming that the conditional distribution of Y given X is a two-parameter Gamma (s, ν(x)), where the scale parameter depends on X. If X is assumed to be any distribution, then clearly the joint distribution is well defined in all cases. We will study this new distribution by developing all possible properties, moments, shapes and estimation of parameters with a view towards applications of the distribution to data from many random number generation methods
In this thesis the utility of a bivariate gamma distribution is explored. In the field of nutritiona...
In the area of stress-strength models, there has been a large amount of work as regards estimation o...
AbstractIn this paper a new form of multivariate gamma is defined whose components are positively co...
We construct a bivariate distribution of (X, Y ) by assuming that the conditional distribution of Y ...
AbstractWe introduce two new bivariate gamma distributions based on a characterizing property involv...
A bivariate distribution whose marginal are gamma and beta prime distribution is introduced. The dis...
AbstractIt is well known that full knowledge of all conditional distributions will typically serve t...
A bivariate generalized gamma distribution (with marginal distributions of a gamma generalized type)...
The bivariate distributions are useful in simultaneous modeling of two random variables. These distr...
In this paper, we provide a new bivariate distribution obtained from a Kibble-type bivariate gamma d...
The thesis deals with three selected constructions of bivariate distributions. The first approach is...
The beta distribution is a basic distribution serving several purposes. It is used to model data, an...
In this work we present a bivariate distribution of X and N, where N has a Poisson distribution and ...
To bring correlation between binomial random variables is an important statistical problem with a lo...
Random variable, conditional distribution, bivariate normal distributionIf X is a normal random vari...
In this thesis the utility of a bivariate gamma distribution is explored. In the field of nutritiona...
In the area of stress-strength models, there has been a large amount of work as regards estimation o...
AbstractIn this paper a new form of multivariate gamma is defined whose components are positively co...
We construct a bivariate distribution of (X, Y ) by assuming that the conditional distribution of Y ...
AbstractWe introduce two new bivariate gamma distributions based on a characterizing property involv...
A bivariate distribution whose marginal are gamma and beta prime distribution is introduced. The dis...
AbstractIt is well known that full knowledge of all conditional distributions will typically serve t...
A bivariate generalized gamma distribution (with marginal distributions of a gamma generalized type)...
The bivariate distributions are useful in simultaneous modeling of two random variables. These distr...
In this paper, we provide a new bivariate distribution obtained from a Kibble-type bivariate gamma d...
The thesis deals with three selected constructions of bivariate distributions. The first approach is...
The beta distribution is a basic distribution serving several purposes. It is used to model data, an...
In this work we present a bivariate distribution of X and N, where N has a Poisson distribution and ...
To bring correlation between binomial random variables is an important statistical problem with a lo...
Random variable, conditional distribution, bivariate normal distributionIf X is a normal random vari...
In this thesis the utility of a bivariate gamma distribution is explored. In the field of nutritiona...
In the area of stress-strength models, there has been a large amount of work as regards estimation o...
AbstractIn this paper a new form of multivariate gamma is defined whose components are positively co...