Relation Between Cumulative Residual Entropy and Excess Wealth Transform with Applications to Reliability and Risk
Unnikrishnan Nair N. () and
Vineshkumar B. ()
Additional contact information
Unnikrishnan Nair N.: Department of Statistics, Cochin University of Science and Technology, Cochin-682022, India
Vineshkumar B.: Department of Statistics, Government Arts College, Thiruvananthapuram-695014, India
Stochastics and Quality Control, 2021, vol. 36, issue 1, 43-57
Abstract:
Dynamic cumulative residual entropy is a new addition to the class of information measures. In the present paper, we study its relationship with excess wealth transform and derive some identities connecting the two using the quantile-based approach. Some theoretical results that have applications to infer ageing properties and risk measures are presented. These are used as tools to analyse real life data.
Keywords: Cumulative Residual Entropy; Excess Wealth Transform; Characterizations; Ageing Properties; Expected Shortfall (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1515/eqc-2020-0036 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:ecqcon:v:36:y:2021:i:1:p:43-57:n:6
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html
DOI: 10.1515/eqc-2020-0036
Access Statistics for this article
Stochastics and Quality Control is currently edited by George P. Yanev
More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().