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.