JOURNAL ARTICLE

Complete f-moment convergence for negatively superadditive dependent random variables

Li liu WangXuep ng HuKem ng Yu

Year: 2023 Journal:   Journal of Mathematical Inequalities Pages: 761-777

Abstract

In this paper, by utilizing the Kolmogorov exponential type inequality of negatively superadditive dependent random arrays and truncated method, we study the complete f -moment convergence for arrays of rowwise NSD random variables.Some sufficient conditions to prove the complete f -moment convergence are obtained, which generalize and improve some known ones.

Keywords:
Superadditivity Mathematics Moment (physics) Convergence (economics) Statistical physics Applied mathematics Mathematical economics Physics Quantum mechanics

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Probability and Risk Models
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Mathematical Approximation and Integration
Physical Sciences →  Mathematics →  Numerical Analysis
Advanced Mathematical Modeling in Engineering
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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