A note on the weak law of large numbers for weighted negatively superadditive dependent random variables
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Publication:5039791
DOI10.1080/03610926.2021.1873377OpenAlexW3122722369MaRDI QIDQ5039791
Fakhreddine Boukhari, Habib Naderi, Przemysław Matuła
Publication date: 4 October 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1873377
Related Items (2)
Weak law of large numbers without any restriction on the dependence structure of random variables ⋮ On a weak law of large numbers with regularly varying normalizing sequences
Cites Work
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- On stochastic dominance and the strong law of large numbers for dependent random variables
- An extension of the Kolmogorov-Feller weak law of large numbers with an application to the St. Petersburg game
- On weak law of large numbers for sums of negatively superadditive dependent random variables
- Iterated logarithm laws for asymmetric random variables barely with or without finite mean
- A connection between supermodular ordering and positive/negative association.
- A note on the weighted strong law of large numbers under general conditions
- Probability: A Graduate Course
- Some general strong laws for weighted sums of stochastically dominated random variables
- On the strong convergence forweighted sums of negatively superadditive dependent random variables
- A version of the Kolmogrov–Feller weak law of large numbers for maximal weighted sums of random variables
- Weak laws of large numbers for maximal weighted sums of random variables
- On a Feller–Jajte strong law of large numbers
- A Generalization of Weak Law of Large Numbers
- On the strong law of large numbers
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