Almost Sure Convergence of Weighted Sums for Negatively Associated Random Variables
Shoufang Xu and
Yu Miao
Communications in Statistics - Theory and Methods, 2014, vol. 43, issue 10-12, 2581-2594
Abstract:
In this article, let {X1, …, Xn} be a sequence of negatively associated random variables and {ani, 1 ⩽ i ⩽ n, n ⩾ 1} be a triangular array of constants. Several almost sure convergence theorems for the weighted sums ∑ni = 1aniXi are established.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2013.841921 (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:43:y:2014:i:10-12:p:2581-2594
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2013.841921
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 ().