Geodesic
On the strong law of large numbers for sequences of pairwise independent random variables
Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 26, Tome 466 (2017), pp. 159-166 Cet article a éte moissonné depuis la source Math-Net.Ru

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We establish new sufficient conditions for the applicability of the strong law of large numbers (SLLN) for sequences of pairwise independent non-identically distributed random variables. These results generalize Etemadi's extension of Kolmogorov's SLLN for identically distributed random variables. Some of the obtained results hold with an arbitrary norming sequence in place of the classical normalization. 
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     title = {On the strong law of large numbers for sequences of pairwise independent random variables},
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     url = {http://geodesic.mathdoc.fr/item/ZNSL_2017_466_a11/}
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V. M. Korchevsky. On the strong law of large numbers for sequences of pairwise independent random variables. Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 26, Tome 466 (2017), pp. 159-166. http://geodesic.mathdoc.fr/item/ZNSL_2017_466_a11/

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