On the strong law of large numbers for identically distributed random variables irrespective of their joint distributions

DOI10.1016/j.spl.2010.04.005zbMath1196.60050OpenAlexW2011535285MaRDI QIDQ988090

Andrew Rosalsky, Gheorghe Stoica

Publication date: 26 August 2010

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2010.04.005

zbMATH Keywords

strong law of large numbersalmost sure convergenceirrespective of the joint distributionssequence of identically distributed random variables

Mathematics Subject Classification ID

Strong limit theorems (60F15)

Related Items (3)

On the strong laws of large numbers for weighted sums of random variables ⋮ Some Strong Laws for Normed Weighted Sums of Stochastically Dominated Banach Space Valued Random Elements Irrespective of Their Joint Distributions ⋮ The strong law of large numbers for sums of randomly chosen random variables

Cites Work

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• Some Results on the Complete and Almost Sure Convergence of Linear Combinations of Independent Random Variables and Martingale Differences
• A Limit Theoerm for Random Variables with Infinite Moments
• On the strong law of large numbers

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