A strong law of large numbers for nonnegative random variables and applications

DOI10.1016/j.spl.2016.06.017zbMath1347.60021OpenAlexW2466897398MaRDI QIDQ312088

Soo Hak Sung, Ping Yan Chen

Publication date: 13 September 2016

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

Full work available at URL: https://doi.org/10.1016/j.spl.2016.06.017

zbMATH Keywords

strong law of large numbersdependent random variablesweighted sums

Mathematics Subject Classification ID

Strong limit theorems (60F15)

Related Items (4)

Strong laws of large numbers for pairwise quadrant dependent random variables ⋮ On the complete convergence and strong law for dependent random variables with general moment conditions ⋮ On the rate of convergence in the strong law of large numbers for nonnegative random variables ⋮ The strong laws of large numbers for positive measurable operators and applications

Cites Work

• Unnamed Item
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• A generalization of the Petrov strong law of large numbers
• On the laws of large numbers for nonnegative random variables
• Stability of sums of weighted nonnegative random variables
• On the strong law of large numbers for pairwise independent random variables
• A note on the strong law of large numbers for positively dependent random variables
• On the strong law of large numbers for sequences of dependent random variables
• The von Bahr-Esseen moment inequality for pairwise independent random variables and applications
• On almost sure convergence for weighted sums of pairwise negatively quadrant dependent random variables
• On the Strong Law of Large Numbers for Nonnegative Random Variables
• A General Approach to the Strong Law of Large Numbers
• Some Concepts of Dependence
• On the Strong Law of Large Numbers
• The strong law of large numbers for pairwise negatively dependent random variables

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