Random convolution of different O-exponential distributions. Assume that ξ1, ξ2, ... are independent non-negative random variables with distribution functions Fξ1, Fξ2, .... Suppose that η is a non-negative non-degenerate at zero integer-valued random variable independent of {ξ1, ξ2, ...}. Assume that S0 = 0, Sn = ξ1 + ξ2 +...+ ξn, n ∈ N, and Sη = ξ1 + ξ2 + ... + ξη. The main goal of this paper is to consider the conditions for the random variables ξ1, ξ2, ... and η under which the distribution function FSη remains in the class OL
International audienceFor large N and when no variables is predominant over the others, the central ...
International audienceFor large N and when no variables is predominant over the others, the central ...
AbstractA sufficient condition for comparing convolutions of heterogeneous exponential random variab...
Assume that xi(1), xi(2),... are independent and identically distributed non-negative random variabl...
In this paper, Exponential distribution as the only continuous statistical distribution that exhibit...
A sufficient condition for comparing convolutions of heterogeneous exponential random variables in t...
Let F be a proper distribution on D=[0,[infinity]) or (-[infinity],[infinity]) and N be a non-negati...
Convolutions of random variables which are either exponential or geometric are studied with respect ...
Convolution is the sum of independent and identically distributed random variables. Derivatives of ...
Let {ξ1, ξ2,...} be a sequence of independent real-valued and possibly nonidentically distributed ra...
AbstractThe non-commutative convolution f∗g of two distributions f and g in D′ is defined to be the ...
We study the distribution of the random series [image omitted], where k are independently and unifor...
AbstractIn proving limit theorems for some stochastic processes, the following classes of distributi...
International audienceFor large N and when no variables is predominant over the others, the central ...
International audienceFor large N and when no variables is predominant over the others, the central ...
International audienceFor large N and when no variables is predominant over the others, the central ...
International audienceFor large N and when no variables is predominant over the others, the central ...
AbstractA sufficient condition for comparing convolutions of heterogeneous exponential random variab...
Assume that xi(1), xi(2),... are independent and identically distributed non-negative random variabl...
In this paper, Exponential distribution as the only continuous statistical distribution that exhibit...
A sufficient condition for comparing convolutions of heterogeneous exponential random variables in t...
Let F be a proper distribution on D=[0,[infinity]) or (-[infinity],[infinity]) and N be a non-negati...
Convolutions of random variables which are either exponential or geometric are studied with respect ...
Convolution is the sum of independent and identically distributed random variables. Derivatives of ...
Let {ξ1, ξ2,...} be a sequence of independent real-valued and possibly nonidentically distributed ra...
AbstractThe non-commutative convolution f∗g of two distributions f and g in D′ is defined to be the ...
We study the distribution of the random series [image omitted], where k are independently and unifor...
AbstractIn proving limit theorems for some stochastic processes, the following classes of distributi...
International audienceFor large N and when no variables is predominant over the others, the central ...
International audienceFor large N and when no variables is predominant over the others, the central ...
International audienceFor large N and when no variables is predominant over the others, the central ...
International audienceFor large N and when no variables is predominant over the others, the central ...
AbstractA sufficient condition for comparing convolutions of heterogeneous exponential random variab...