Strong laws of large numbers for weighted sums of extended negatively dependent random variables under sub-linear expectations
Zhouting Zhan and
Qunying Wu
Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 5, 1197-1216
Abstract:
In this paper, we study strong laws of large numbers for weighted sums of extended negatively dependent random variables under sub-linear expectation space. As an application, several results on strong laws of large numbers of ∑i=1knaniXi with the condition of kn↑∞ and kn=∞ for the double arrays of positive real numbers {ani;1≤i≤kn,n≥1} and sequences of extended negatively dependent random variables have been established in sub-linear expectations. The main results obtained in this article are the extensions of strong laws of large numbers for weighted sums of negatively dependent random variables under the traditional probability space.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1873380 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:51:y:2022:i:5:p:1197-1216
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2021.1873380
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().