Strong Laws of Large Numbers for Arrays of Rowwise Conditionally Negatively Dependent Random Variables ()
Abstract
Let {Xnk} 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.
Share and Cite:
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.
Conflicts of Interest
The authors declare no conflicts of interest.
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