New conditions are found for the absolute convergence of series of random variables almost surely. The results contain no independence assumptions. A generalization in analytical terms is obtained. Bibliography: 5 titles.
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E. R. van Kampen, “Infinite product measures and infinite convolutions,” Amer. J. Math., 62, 417–448 (1940).
V. V. Petrov, “The strong law of large numbers,” Teor. Veroyatn. Primen., 14, 193–202 (1969).
V. V. Petrov, “The order of growth of sums of dependent random variables,” Teor. Veroyatn. Primen., 18, 358–361 (1973).
V. V. Petrov, “On the growth of sums of measurable functions,” Litovsk. Mat. Sb., 16, 189–192 (1976).
V. V. Petrov, Limit Theorems of Probability Theory, Oxford University Press, New York (1995).
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Translated from Zapiski Nauchnykh Seminarov POMI, Vol. 431, 2014, pp. 140–144.
Translated by I. Ponomarenko.
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Petrov, V.V. On Absolute Convergence of Series of Random Variables Almost Surely. J Math Sci 214, 513–516 (2016). https://doi.org/10.1007/s10958-016-2794-1
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DOI: https://doi.org/10.1007/s10958-016-2794-1