Add to ORKGSome strong laws of large numbers and strong convergence properties for arrays of rowwise negatively associated and linearly negative quadrant dependent random variables are obtained. The results obtained not only generalize the result of Hu and Taylor to negatively associated and linearly negative quadrant dependent random variables, but also improve it
A sequence of random variables is said to be extended negatively dependent (END) if the tails of its...
Abstract In this paper, complete convergence and strong law of large numbers for sequences of pairwi...
This thesis presents an up-to-date survey of results concerning laws of large numbers for sequences ...
Abstract. Let {Xni | 1 ≤ i ≤ n, n ≥ 1} be an array of rowwise nega-tively dependent (ND) random vari...
We discuss strong law of large numbers and complete convergence for sums of uniformly bounded negat...
Weak laws of large numbers for arrays of rowwise negatively dependent random variables are obtained ...
summary:In this paper the authors study the convergence properties for arrays of rowwise pairwise ne...
summary:In this paper the authors study the convergence properties for arrays of rowwise pairwise ne...
In this paper, we obtain the strong law of large numbers for a 2-dimensional array of pairwise negat...
We obtain strong laws of large numbers for sequences of random variables which are either pairwise p...
Associated random variables, Markov chain, Positive quadrant dependence, Rate of convergence, Stocha...
Some strong laws of large numbers for arrays of rowwise ρ∗-mixing random variables are obtained. The...
Abstract – In this paper, strong laws of large numbers (SLLN) are obtained for the sums ∑
This paper establishes two results for the strong law of large numbers under negative association an...
AbstractSome sufficient conditions for complete convergence for arrays of rowwise ρ̃-mixing random v...
A sequence of random variables is said to be extended negatively dependent (END) if the tails of its...
Abstract In this paper, complete convergence and strong law of large numbers for sequences of pairwi...
This thesis presents an up-to-date survey of results concerning laws of large numbers for sequences ...
Abstract. Let {Xni | 1 ≤ i ≤ n, n ≥ 1} be an array of rowwise nega-tively dependent (ND) random vari...
We discuss strong law of large numbers and complete convergence for sums of uniformly bounded negat...
Weak laws of large numbers for arrays of rowwise negatively dependent random variables are obtained ...
summary:In this paper the authors study the convergence properties for arrays of rowwise pairwise ne...
summary:In this paper the authors study the convergence properties for arrays of rowwise pairwise ne...
In this paper, we obtain the strong law of large numbers for a 2-dimensional array of pairwise negat...
We obtain strong laws of large numbers for sequences of random variables which are either pairwise p...
Associated random variables, Markov chain, Positive quadrant dependence, Rate of convergence, Stocha...
Some strong laws of large numbers for arrays of rowwise ρ∗-mixing random variables are obtained. The...
Abstract – In this paper, strong laws of large numbers (SLLN) are obtained for the sums ∑
This paper establishes two results for the strong law of large numbers under negative association an...
AbstractSome sufficient conditions for complete convergence for arrays of rowwise ρ̃-mixing random v...
A sequence of random variables is said to be extended negatively dependent (END) if the tails of its...
Abstract In this paper, complete convergence and strong law of large numbers for sequences of pairwi...
This thesis presents an up-to-date survey of results concerning laws of large numbers for sequences ...