On the exponential inequalities for widely orthant-dependent random variables
Tingting Liu,
Xuejun Wang,
Xinghui Wang and
Shuhe Hu
Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 19, 5848-5856
Abstract:
In this work, we establish some exponential inequalities for widely orthant-dependent random variables. We also obtain the convergence rate O(n− 1/2ln 1/2n) for the strong law of large numbers for widely orthant-dependent random variables.
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2014.950752 (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:45:y:2016:i:19:p:5848-5856
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2014.950752
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 ().