Add to ORKGIn this paper, we obtain the strong law of large numbers for a 2-dimensional array of pairwise negatively dependent random variables which are not required to be identically distributed. We found the sufficient conditions of strong law of large numbers for the difference of random variables which independent and identically distributed conditions are regarded. In this study, we consider the limit as m n which is stronger than the limit as when m, n are natural numbers.,m
The purpose of this note is to provide a fairly general weak law for arrays.Arrays Weak law of large...
The strong law of the large numbers for U-statistics has been proved for a sequence of independent r...
We study the almost sure convergence of weighted sums of dependent random variables to a pos...
Abstract – In this paper, strong laws of large numbers (SLLN) are obtained for the sums ∑
Abstract. Let {Xni | 1 ≤ i ≤ n, n ≥ 1} be an array of rowwise nega-tively dependent (ND) random vari...
Weak laws of large numbers for arrays of rowwise negatively dependent random variables are obtained ...
Some strong laws of large numbers and strong convergence properties for arrays of rowwise negatively...
A sequence of random variables is said to be extended negatively dependent (END) if the tails of its...
We obtain strong laws of large numbers for sequences of random variables which are either pairwise p...
This paper establishes two results for the strong law of large numbers under negative association an...
We discuss strong law of large numbers and complete convergence for sums of uniformly bounded negat...
In this paper we obtain weak laws of large numbers (WLLNs) for arrays of random variables under the ...
This thesis presents an up-to-date survey of results concerning laws of large numbers for sequences ...
On the strong law of large numbers for pairwise negative quadrant dependent identically distributed ...
本文给出了具有不同分布NA随机变量列满足一类强大数律的充分必要条件,从而将Egorov对独立随机变量列建立的结果推广到NA随机变量情形;作为应用,我们还建立了一个新的强大数律.In this pape...
The purpose of this note is to provide a fairly general weak law for arrays.Arrays Weak law of large...
The strong law of the large numbers for U-statistics has been proved for a sequence of independent r...
We study the almost sure convergence of weighted sums of dependent random variables to a pos...
Abstract – In this paper, strong laws of large numbers (SLLN) are obtained for the sums ∑
Abstract. Let {Xni | 1 ≤ i ≤ n, n ≥ 1} be an array of rowwise nega-tively dependent (ND) random vari...
Weak laws of large numbers for arrays of rowwise negatively dependent random variables are obtained ...
Some strong laws of large numbers and strong convergence properties for arrays of rowwise negatively...
A sequence of random variables is said to be extended negatively dependent (END) if the tails of its...
We obtain strong laws of large numbers for sequences of random variables which are either pairwise p...
This paper establishes two results for the strong law of large numbers under negative association an...
We discuss strong law of large numbers and complete convergence for sums of uniformly bounded negat...
In this paper we obtain weak laws of large numbers (WLLNs) for arrays of random variables under the ...
This thesis presents an up-to-date survey of results concerning laws of large numbers for sequences ...
On the strong law of large numbers for pairwise negative quadrant dependent identically distributed ...
本文给出了具有不同分布NA随机变量列满足一类强大数律的充分必要条件,从而将Egorov对独立随机变量列建立的结果推广到NA随机变量情形;作为应用,我们还建立了一个新的强大数律.In this pape...
The purpose of this note is to provide a fairly general weak law for arrays.Arrays Weak law of large...
The strong law of the large numbers for U-statistics has been proved for a sequence of independent r...
We study the almost sure convergence of weighted sums of dependent random variables to a pos...