In this article, I explore in a unified manner the structure of uniform slash and α-slash distributions which, in the continuous case, are defined to be the distributions of Y/U and Yα/U1/α where Y and Yα follow any distribution on ℝ+ and, independently, U is uniform on (0, 1). The parallels with the monotone and α-monotone distributions of Y × U and Yα × U1/α, respectively, are striking. I also introduce discrete uniform slash and α-slash distributions which arise from a notion of negative binomial thinning/fattening. Their specification, although apparently rather different from the continuous case, seems to be a good one because of the close way in which their properties mimic those of the continuous case
Discrete analogue of a continuous distribution (especially in the univariate domain) is not new in t...
In this work, we revisit the problem of uniformity testing of discrete probability distributions. A ...
We explore the framework of location-scale mixtures of Gaussian distributions (SMGD) and consider a ...
In this partly expository article, I am concerned with some simple yet fundamental aspects of discre...
In this paper, we introduce an extension for the slash distribution, called double slash distributio...
In this article, we develop a sum and share decomposition to model multivariate discrete distributio...
This thesis explores some new means to generate random numbers without incurring any numerical inacc...
WOS: 000262061300038In this paper, we propose a generalization of the multivariate slash distributio...
This article presents important properties of standard discrete distributions and its conjugate dens...
We describe a web-based interactive graphic that can be used as a resource in introductory classes i...
For a continuous random variable X with support equal to (a, b), with c.d.f. F, and g: Ω1 → Ω2 a con...
We study properties of two probability distributions defined on the infinite set {0,1,2,…} and gener...
This paper introduces an extension of the slash-elliptical distribution. This new distribution is ge...
Certain characterizations of recently proposed univariate continuous distributions are presented in ...
Certain characterizations of recently proposed univariate continuous distributions are presented in ...
Discrete analogue of a continuous distribution (especially in the univariate domain) is not new in t...
In this work, we revisit the problem of uniformity testing of discrete probability distributions. A ...
We explore the framework of location-scale mixtures of Gaussian distributions (SMGD) and consider a ...
In this partly expository article, I am concerned with some simple yet fundamental aspects of discre...
In this paper, we introduce an extension for the slash distribution, called double slash distributio...
In this article, we develop a sum and share decomposition to model multivariate discrete distributio...
This thesis explores some new means to generate random numbers without incurring any numerical inacc...
WOS: 000262061300038In this paper, we propose a generalization of the multivariate slash distributio...
This article presents important properties of standard discrete distributions and its conjugate dens...
We describe a web-based interactive graphic that can be used as a resource in introductory classes i...
For a continuous random variable X with support equal to (a, b), with c.d.f. F, and g: Ω1 → Ω2 a con...
We study properties of two probability distributions defined on the infinite set {0,1,2,…} and gener...
This paper introduces an extension of the slash-elliptical distribution. This new distribution is ge...
Certain characterizations of recently proposed univariate continuous distributions are presented in ...
Certain characterizations of recently proposed univariate continuous distributions are presented in ...
Discrete analogue of a continuous distribution (especially in the univariate domain) is not new in t...
In this work, we revisit the problem of uniformity testing of discrete probability distributions. A ...
We explore the framework of location-scale mixtures of Gaussian distributions (SMGD) and consider a ...