On stability of sums of nonnegative random variables
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We present new sufficient conditions for stability of sums of nonnegative random variables having finite moments of second order. We demonstrate that these conditions are nonimprovable in some sense. Bibliography: 4 titles.
KeywordsRussia Nonnegative Random Variable Finite Moment
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- 4.V. V. Petrov, “On the strong law of large numbers for sequences of nonnegative random variables,” Teor. Veroyatn. Primen., 53, 379—382 (2008).Google Scholar
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