The aim of this article is to study geometric F-semistable and geometric F-stable distributions on the d-dimensional lattice Z+d. We obtain several properties for these distributions, including characterizations in terms of their probability generating functions.We describe a relation between geometric F-semistability and geometric F-stability and their counterparts on R+d and, as a consequence, we derive some mixture representations and construct some examples.We establish limit theorems and discuss the related concepts of complete and partial geometric attraction for distributions on Z+d. As an application, we derive the marginal distribution of the innovation sequence of a Z+d-valued stationary autoregressive process of order p wit...
The paper yields retrieval formulae of the directional distribution of a stationary k–flat process i...
We are interested in the differential equations satisfied by the density of the Geometric Stable pro...
AbstractMany connections between geometric and exponential distributions are known. Characterization...
Abstract. The aim of this article is to study geometric F-semistable and geometric F-stable distribu...
Abstract. Let (Xi) be a sequence of i.i.d. random variables, and let N be a geometric random variabl...
The concept of a semistable distribution appeared first in 1937 in Paul Lévy’s fundamental work. Th...
A generalized multivariate problem due to V. M. Zolotarev is considered. Some related results on geo...
Abstract. Under the geometric compounding model, we f i s t investigate the relationship between the...
The scope of this paper is to offer an overview of the main results obtained by the authors in recen...
Operator geometric stable laws are the weak limits of operator normed and centered geometric random ...
The scope of this paper is to offer an overview of the main results obtained by the authors in recen...
It is well known that the family of discrete phase-type distributions is closed under convolutions, ...
We investigate the properties of multifractal products of geometric Ornstein-Uhlenbeck (OU) processe...
Acyclic phase-type distributions form a versatile model, serving as approximations to many probabili...
In this paper, we present some characterizations of discrete life distributions, especially for dHNB...
The paper yields retrieval formulae of the directional distribution of a stationary k–flat process i...
We are interested in the differential equations satisfied by the density of the Geometric Stable pro...
AbstractMany connections between geometric and exponential distributions are known. Characterization...
Abstract. The aim of this article is to study geometric F-semistable and geometric F-stable distribu...
Abstract. Let (Xi) be a sequence of i.i.d. random variables, and let N be a geometric random variabl...
The concept of a semistable distribution appeared first in 1937 in Paul Lévy’s fundamental work. Th...
A generalized multivariate problem due to V. M. Zolotarev is considered. Some related results on geo...
Abstract. Under the geometric compounding model, we f i s t investigate the relationship between the...
The scope of this paper is to offer an overview of the main results obtained by the authors in recen...
Operator geometric stable laws are the weak limits of operator normed and centered geometric random ...
The scope of this paper is to offer an overview of the main results obtained by the authors in recen...
It is well known that the family of discrete phase-type distributions is closed under convolutions, ...
We investigate the properties of multifractal products of geometric Ornstein-Uhlenbeck (OU) processe...
Acyclic phase-type distributions form a versatile model, serving as approximations to many probabili...
In this paper, we present some characterizations of discrete life distributions, especially for dHNB...
The paper yields retrieval formulae of the directional distribution of a stationary k–flat process i...
We are interested in the differential equations satisfied by the density of the Geometric Stable pro...
AbstractMany connections between geometric and exponential distributions are known. Characterization...