Strong laws of large numbers for arrays of rowwise -mixing random variables.
Zhu, Meng-Hu (2007)
Discrete Dynamics in Nature and Society
Similarity:
Displaying similar documents to “On the Brunk-Chung type strong law of large numbers for sequences of blockwise m-dependent random variables”
Strong laws of large numbers for arrays of rowwise -mixing random variables.
Weak laws of large numbers for arrays of rowwise negatively dependent random variables.
Taylor, R.L., Patterson, R.F., Bozorgnia, A. (2001)
Journal of Applied Mathematics and Stochastic Analysis
Similarity:
The law of the iterated logarithm for exchangeable random variables.
Zhang, Hu-Ming, Taylor, Robert L. (1995)
International Journal of Mathematics and Mathematical Sciences
Similarity:
Moment inequalities and complete moment convergence.
Sung, Soo Hak (2009)
Journal of Inequalities and Applications [electronic only]
Similarity:
Strong laws of large numbers for arrays of row-wise independent random elements.
Taylor, Robert Lee, Hu, Tien-Chung (1987)
International Journal of Mathematics and Mathematical Sciences
Similarity:
Complete convergence of weighted sums for arrays of rowwise -mixing random variables
Xinghui Wang, Xiaoqin Li, Shuhe Hu (2014)
Applications of Mathematics
Similarity:
In this paper, we establish the complete convergence and complete moment convergence of weighted sums for arrays of rowwise -mixing random variables, and the Baum-Katz-type result for arrays of rowwise -mixing random variables. As an application, the Marcinkiewicz-Zygmund type strong law of large numbers for sequences of -mixing random variables is obtained. We extend and complement the corresponding results of X. J. Wang, S. H. Hu (2012).
A note on the k-th distance random variables
W. Dziubdziela (1976)
Applicationes Mathematicae
Similarity:
Some theorems of random operator equations.
Zhu, Chuanxi, Xu, Zongben (2002)
International Journal of Mathematics and Mathematical Sciences
Similarity:
On the zeroes of some random functions
R. Kaufman (1970)
Studia Mathematica
Similarity: