Research ArticleOpen AccessGoogle Scholar indexed
Strong Laws of Large Numbers for Arrays of Rowwise Conditionally Negatively Dependent Random Variables
Department of Mathematics, Winston-Salem State University, Winston-Salem, USA
Department of Mathematics, Winston-Salem State University, Winston-Salem, USA
Department of Mathematics, Winston-Salem State University, Winston-Salem, USA
- 1 Department of Mathematics, Winston-Salem State University, Winston-Salem, USA
- 2 Department of Mathematics, Winston-Salem State University, Winston-Salem, USA
- 3 Department of Mathematics, Winston-Salem State University, Winston-Salem, USA
Advances in Pure Mathematics·Volume 03 (2013)·Pages 625–626·Published 17 October 2013·DOI10.4236/apm.2013.37081
Copy link · social · email
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.
KeywordsNegative DependenceComplete Convergence
- 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.
- 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
- 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
- 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