This paper proposes a new family of multivariate distributions as the scale mixture of the multivariate Kotz-type distribution and the inverse generalized gamma distribution. Definition and some of the main properties are given. It is shown that the new family belongs to the elliptically contoured distributions family, and as a result of the mixing approach it includes the longer tailed distributions than the Kotz-type distribution. Thus, the new family may be regarded as a useful extension of the Kotz-type distribution for robustness purposes. It is also shown that the multivariate t-distribution and the generalized versions of the multivariate t-distribution introduced by Arellano-Valle and Bolfarine [1995. On some characterizations of th...
This paper presents two types of symmetric scale mixture probability distributions which include the...
This paper presents a new class of probability distributions generated from the gamma distribution. ...
The multivariate Kummer-Beta and multivariate Kummer-Gamma families of distributions have been propo...
This paper proposes a new family of multivariate distributions as the scale mixture of the multivari...
This article proposes a new family of multivariate distributions as the variance-mean mixture of the...
In this paper, we introduce a new family of multivariate distributions as the scale mixture of the m...
AbstractIn this paper, we introduce a new family of multivariate distributions as the scale mixture ...
The GGH family of multivariate distributions is obtained by scale mixing on the Exponential Power di...
This study derives the characteristic functions of (multivariate/generalized) t distributions withou...
The researchers in applied statistics are recently highly motivated to introduce new generalizations...
AbstractThis paper introduces a family of multivariate symmetric distributions, which includes the o...
A brief review on transformed-transformer {T-X} generated family of distributions is presented in th...
AbstractIn this paper, we first show that a k-dimensional Dirichlet random vector has independent co...
In this thesis, Kanter's representation of multivariate unimodal distributions is shown equivalent t...
A new class of bivariate distributions is presented in this paper. The procedure used in this paper ...
This paper presents two types of symmetric scale mixture probability distributions which include the...
This paper presents a new class of probability distributions generated from the gamma distribution. ...
The multivariate Kummer-Beta and multivariate Kummer-Gamma families of distributions have been propo...
This paper proposes a new family of multivariate distributions as the scale mixture of the multivari...
This article proposes a new family of multivariate distributions as the variance-mean mixture of the...
In this paper, we introduce a new family of multivariate distributions as the scale mixture of the m...
AbstractIn this paper, we introduce a new family of multivariate distributions as the scale mixture ...
The GGH family of multivariate distributions is obtained by scale mixing on the Exponential Power di...
This study derives the characteristic functions of (multivariate/generalized) t distributions withou...
The researchers in applied statistics are recently highly motivated to introduce new generalizations...
AbstractThis paper introduces a family of multivariate symmetric distributions, which includes the o...
A brief review on transformed-transformer {T-X} generated family of distributions is presented in th...
AbstractIn this paper, we first show that a k-dimensional Dirichlet random vector has independent co...
In this thesis, Kanter's representation of multivariate unimodal distributions is shown equivalent t...
A new class of bivariate distributions is presented in this paper. The procedure used in this paper ...
This paper presents two types of symmetric scale mixture probability distributions which include the...
This paper presents a new class of probability distributions generated from the gamma distribution. ...
The multivariate Kummer-Beta and multivariate Kummer-Gamma families of distributions have been propo...