A version of the Kolmogrov–Feller weak law of large numbers for maximal weighted sums of random variables

DOI10.1080/03610926.2018.1513146OpenAlexW2895828117MaRDI QIDQ5077907

Habib Naderi, Przemysław Matuła, Hamed Ahmadzade, Mohammad Amini-Dehak

Publication date: 20 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1513146

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

A note on the weak law of large numbers for weighted negatively superadditive dependent random variables ⋮ Weak laws of large numbers for maximal weighted sums of random variables ⋮ Weak law of large numbers without any restriction on the dependence structure of random variables ⋮ On the weak laws of large numbers for compound random sums of independent random variables with convergence rates ⋮ On a Feller–Jajte strong law of large numbers ⋮ On a weak law of large numbers with regularly varying normalizing sequences ⋮ On weak law of large numbers for sums of negatively superadditive dependent random variables

Cites Work

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• On stochastic dominance and the strong law of large numbers for dependent random variables
• A conditional version of the extended Kolmogorov-Feller weak law of large numbers
• A note on the weighted strong law of large numbers under general conditions
• A Note on the Weak Law
• Probability: A Graduate Course
• On the strong law of large numbers

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