Complete f-moment convergence for negatively superadditive dependent random variables

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26078

Title:	Complete f-moment convergence for negatively superadditive dependent random variables
Authors:	Yu, K Wang, L Hu, X
Keywords:	negatively superadditive dependent random variables;complete f-moment convergence;complete moment convergence
Issue Date:	1-Jun-2023
Publisher:	Element d.o.o. Publishing House
Citation:	Yu, K., Wang, L. and Hu, X. (2023) 'Complete f-moment convergence for negatively superadditive dependent random variables', Journal of Mathematical Inequalities, 17 (2), pp. 761 - 777. doi: 10.7153/jmi-2023-17-49
Abstract:	Copyright © the author(s). 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.
Description:	Mathematics subject classification (2020): 60F15.
URI:	https://bura.brunel.ac.uk/handle/2438/26078
DOI:	https://doi.org/10.7153/jmi-2023-17-49
ISSN:	1846-579X
Other Identifiers:	ORCID iD: Keming Yu https://orcid.org/0000-0001-6341-8402
Appears in Collections:	Dept of Mathematics Research Papers

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