On weak law of large numbers for sums of negatively superadditive dependent random variables

Autor: Naderi, Habib, Matuła, Przemysław, Salehi, Mahdi, Amini, Mohammad
Jazyk: English<br />French
Rok vydání: 2020
Předmět:
Zdroj: Comptes Rendus. Mathématique, Vol 358, Iss 1, Pp 13-21 (2020)
Druh dokumentu: article
ISSN: 1778-3569
DOI: 10.5802/crmath.7
Popis: In this paper, we extend Kolmogorov–Feller weak law of large numbers for maximal weighted sums of negatively superadditive dependent (NSD) random variables. In addition, we make a simulation study for the asymptotic behavior in the sense of convergence in probability for weighted sums of NSD random variables.
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