DOIAbstract
Autoregressive process, Geometric compound, Functional equation, Linnik/α-Laplace distribution, Semi α-Laplace distribution, Semi stable distribution,
Autoregressive process, Geometric compound, Functional equation, Linnik/α-Laplace distribution, Semi α-Laplace distribution, Semi stable distribution,
One of the important problems of stochastic process theory is to define the Laplace transforms for t...
Abstract. We present a class of multivariate laws which is an extension of the symmetric multivariat...
We propose matrix-variate beta type III distribution. Several properties of this distribution includ...
The normal-Laplace distribution is considered and its properties are discussed. A multivariate norma...
First order autoregressive process with semi-a-Laplace marginal distributions is developed. This ext...
Christoph and Schreiber (1998a) studied the discrete analogue of positive Linnik distribution and ob...
We introduce an autoregressive process called generalized normal-Laplace autoregressive process with...
Characterizations of bivariate geometric distribution using univariate and bivariate geometric compo...
Multivariate semi-logistic distribution is introduced and studied. Some characterizations properties...
The log-Laplace distribution and its properties are considered. Some important properties like multi...
A bivariate semi-Pareto distribution is introduced and characterized using geometric minimization. A...
Multivariate Laplace distribution is an important stochastic model that accounts for asymmetry and h...
Heavy-tail distribution, Linnik distribution, Mittag-Leffler distribution, random summation, stable ...
AbstractMultivariate Laplace distribution is an important stochastic model that accounts for asymmet...
The normal-Laplace (NL) distribution results from convolving independent normally distributed and La...
One of the important problems of stochastic process theory is to define the Laplace transforms for t...
Abstract. We present a class of multivariate laws which is an extension of the symmetric multivariat...
We propose matrix-variate beta type III distribution. Several properties of this distribution includ...
The normal-Laplace distribution is considered and its properties are discussed. A multivariate norma...
First order autoregressive process with semi-a-Laplace marginal distributions is developed. This ext...
Christoph and Schreiber (1998a) studied the discrete analogue of positive Linnik distribution and ob...
We introduce an autoregressive process called generalized normal-Laplace autoregressive process with...
Characterizations of bivariate geometric distribution using univariate and bivariate geometric compo...
Multivariate semi-logistic distribution is introduced and studied. Some characterizations properties...
The log-Laplace distribution and its properties are considered. Some important properties like multi...
A bivariate semi-Pareto distribution is introduced and characterized using geometric minimization. A...
Multivariate Laplace distribution is an important stochastic model that accounts for asymmetry and h...
Heavy-tail distribution, Linnik distribution, Mittag-Leffler distribution, random summation, stable ...
AbstractMultivariate Laplace distribution is an important stochastic model that accounts for asymmet...
The normal-Laplace (NL) distribution results from convolving independent normally distributed and La...
One of the important problems of stochastic process theory is to define the Laplace transforms for t...
Abstract. We present a class of multivariate laws which is an extension of the symmetric multivariat...
We propose matrix-variate beta type III distribution. Several properties of this distribution includ...
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