Complete convergence and complete moment convergence for weighted sums of extended negatively dependent random variables

Bing Meng, Dingcheng Wang and Qunying Wu

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 12, 3847-3863

Abstract: In this paper, we discuss complete convergence and complete moment convergence results for extended negatively dependent random variables. The obtained theorems not only extend the Baum-Katz type theorem to the case of END random variables, but also improve them.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1804587 (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:12:p:3847-3863

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2020.1804587

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 ().