Author(s) Ronald Patterson^*, Tamika Royal-Thomas, Wanda Patterson

Affiliation(s)
Department of Mathematics, Winston-Salem State University, Winston-Salem, USA.

ABSTRACT

Let {X_nk} be an array of rowwise conditionally negative dependent random variables. Complete convergence of to 0 is obtained by using various conditions on the moments and conditional means.

KEYWORDS
Negative Dependence; Complete Convergence

Cite this paper
R. Patterson, T. Royal-Thomas and W. Patterson, "Strong Laws of Large Numbers for Arrays of Rowwise Conditionally Negatively Dependent Random Variables," Advances in Pure Mathematics, Vol. 3 No. 7, 2013, pp. 625-626. doi: 10.4236/apm.2013.37081.

References
[1]   R. L. Taylor, R. Patterson and A. Bozorgnia, “A Strong Law of Large Numbers for Arrays of Rowwise Negatively Dependent Random Variables,” Stochastic Analysis and Applications, Vol. 20, No. 3, 2002, pp. 644-666.

[2]   R. Patterson, R. L. Taylor and A. Bozorgnia, “Chung Type Stong Laws for Arrays of Random Elements and Bootstrapping,” Stochastic Analysis and Applications, Vol. 15, No. 5, 1997, pp. 651-669.
http://dx.doi.org/10.1080/07362999708809501

[3]   P. L. Hu and H. Robbins, “Complete Convergence and the Law of Large Numbers,” Proceedings of the National Academy of Sciences of the United States of America, Vol. 33, No. 2, 1947, pp. 25-31.
http://dx.doi.org/10.1073/pnas.33.2.25

[4]   R. Patterson, R. L. Taylor and A. Bozorgnia, “Strong Laws of Large Numbers for Arrays of Rowwise Conditionally Independent Random Variables,” Journal of Applied Mathematics and Stochastic Analysis, Vol. 6, No. 1, 1993, pp. 1-10.
http://dx.doi.org/10.1155/S1048953393000012