An ordered approach on cumulative extropy measures for information analysis
Jitto Jose and
E. I. Abdul Sathar
Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 5, 1512-1532
Abstract:
The present study focus on the ordered approach of random variables in the analysis of uncertainty using cumulative extropy and its dynamic versions. Some important results regarding bounds, aging properties and orderings of cumulative extropy measures based on order statistics have been discussed. The study also presents characterizations of some probability distribution, identical distribution of random variables and symmetry of a probability distribution using cumulative extropy measures based on extreme order statistics. Further, a simple empirical estimator has been proposed to estimate dynamic failure extropy using a real life data set.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1928706 (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:52:y:2023:i:5:p:1512-1532
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2021.1928706
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 ().