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A two-sided estimate in the Hsu-Robbins-Erdös law of large numbers
Authors:Alexander R. Pruss
Affiliation:Department of Philosophy, University of Pittsburgh, Pittsburgh, PA 15260, USA
Abstract:Let X1, X2, … be independent identically distributed random variables. Then, Hsu and Robbins (1947) together with Erdös (1949, 1950) have proved that
,

if and only if E[X21] < ∞ and E[X1] = 0. We prove that there are absolute constants C1, C2 (0, ∞) such that if X1, X2, … are independent identically distributed mean zero random variables, then

c1λ−2 E[X12·1{|X1|λ}]S(λ)C2λ−2 E[X12·1{|X1|λ}]
,

for every λ > 0.

Keywords:Rates of convergence in the law of large numbers   Complete convergence   Hsu-Robbins-Erdös law of large numbers   Tail probabilities of sums of independent identically distributed random variables
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