Limit theorems without moment hypotheses for sums of independent random variables

DOI10.1214/aop/1176994779zbMath0432.60034OpenAlexW2125709646MaRDI QIDQ1138841

R.James Tomkins

Publication date: 1980

Published in: The Annals of Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aop/1176994779

zbMATH Keywords

independent random variableslimit theoremsalmost sure convergencelaw of iterated logarithmalmost sure stability

Mathematics Subject Classification ID

Sums of independent random variables; random walks (60G50) Strong limit theorems (60F15)

Related Items (3)

Sufficient moment and truncated moment conditions for the law of the iterated logarithm ⋮ Rates of convergence for tail series ⋮ On the limiting behavior of normed sums of independent random variables

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