In this article, main characteristics, marginal, joint, and conditional inferences of a generalized multivariate Gumbel model are derived, and random vector generation is described. Distribution of the sum where summands come from a bivariate generalized multivariate Gumbel distribution is derived
AbstractRecently attempts have been made to characterize probability distributions via truncated exp...
summary:This paper concerns generalized quadratic forms for the multivariate case. These forms are u...
summary:The Multivariate Extreme Value distributions have shown their usefulness in environmental st...
In this article, main characteristics, marginal, joint, and conditional inferences of a generalized ...
The admissible values of the coefficient in a bivariate Eyraud-Gumbel-Morgenstern (EGM) distribution...
AbstractThe admissible values of the coefficient in a bivariate Eyraud-Gumbel-Morgenstern (EGM) dist...
This paper constructs a new generalized multivariate version of the Gumbel copula that, to our know...
In the paper, we proposed a generakization of the gumbel distribution. Simpel properties of the dist...
<p>In this article, main characteristics of a generalized Gumbel (GG) distribution are derived. Para...
summary:In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM...
A simple generalization of the Gumbel distribution is proposed. Simple properties of the distributio...
The Gumbel distribution is perhaps the most widely applied statistical distribution for problems in ...
Some properties of the Gumbel-Weibull distribution including the mean deviations and modes are studi...
We consider in this paper the problem of comparing the means of several multivariate Gaussian proces...
Recently attempts have been made to characterize probability distributions via truncated expectation...
AbstractRecently attempts have been made to characterize probability distributions via truncated exp...
summary:This paper concerns generalized quadratic forms for the multivariate case. These forms are u...
summary:The Multivariate Extreme Value distributions have shown their usefulness in environmental st...
In this article, main characteristics, marginal, joint, and conditional inferences of a generalized ...
The admissible values of the coefficient in a bivariate Eyraud-Gumbel-Morgenstern (EGM) distribution...
AbstractThe admissible values of the coefficient in a bivariate Eyraud-Gumbel-Morgenstern (EGM) dist...
This paper constructs a new generalized multivariate version of the Gumbel copula that, to our know...
In the paper, we proposed a generakization of the gumbel distribution. Simpel properties of the dist...
<p>In this article, main characteristics of a generalized Gumbel (GG) distribution are derived. Para...
summary:In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM...
A simple generalization of the Gumbel distribution is proposed. Simple properties of the distributio...
The Gumbel distribution is perhaps the most widely applied statistical distribution for problems in ...
Some properties of the Gumbel-Weibull distribution including the mean deviations and modes are studi...
We consider in this paper the problem of comparing the means of several multivariate Gaussian proces...
Recently attempts have been made to characterize probability distributions via truncated expectation...
AbstractRecently attempts have been made to characterize probability distributions via truncated exp...
summary:This paper concerns generalized quadratic forms for the multivariate case. These forms are u...
summary:The Multivariate Extreme Value distributions have shown their usefulness in environmental st...
DOI
Add to ORKG