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A Generalization of Weak Law of Large Numbers
Authors:Victor M. Kruglov
Affiliation:1. Department of Statistics, Faculty of Computational Mathematics and Cybernetics , Moscow State University , Moscow, Russia krugvictor@gmail.com
Abstract:Kolmogorov's weak law of large numbers for i.i.d. random variables is generalized to a larger class distributions and to a wide class of normalizing sequences. The result is extended to maximal sums of negatively associated identically distributed random variables.
Keywords:Kolmogorov's weak law of large numbers  Negatively associated and independent random variables  Slowly varying function
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