Mean Convergence for Weighted Sums of Negative Superadditive Dependent Random Variables

The mean convergence is obtained for weighted sums of negative superadditive dependent (NSD) random variables under the condition of uniform integrability concerning an array of constants. Furthermore, a simulation study is conducted to confirm the obtained results.

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Publication Details

Journal
Lobachevskii Journal of Mathematics
Published
2025-04-01
DOI
https://doi.org/10.1134/s1995080225606265
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
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article

Mean Convergence for Weighted Sums of Negative Superadditive Dependent Random Variables

Mohammad Amini, Habib Naderi
Lobachevskii Journal of Mathematics
Approximation Theory and Sequence Spaces
article

Mean Convergence for Weighted Sums of Negative Superadditive Dependent Random Variables

Mohammad Amini, Habib Naderi
article en

Abstract

The mean convergence is obtained for weighted sums of negative superadditive dependent (NSD) random variables under the condition of uniform integrability concerning an array of constants. Furthermore, a simulation study is conducted to confirm the obtained results.

Lobachevskii Journal of MathematicsVol. 46(4)
University of Sistan and Baluchestan (IR), Ferdowsi University of Mashhad (IR)
Reduced inequalities
Openalex Percentile: Top 79%
Approximation Theory and Sequence Spaces
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