Non-parametric estimation of cumulative (residual) extropy
Sudheesh K. Kattumannil and
Sreedevi E.P.
Statistics & Probability Letters, 2022, vol. 185, issue C
Abstract:
We obtain simple estimators of cumulative (residual) extropy for complete and right censored data and study their properties. A Monte Carlo simulation study is conducted to evaluate the finite sample performance of the estimators. Finally, we establish the relationship between different extropy measures and reliability concepts.
Keywords: Entropy; Extropy; Right censoring; U-statistics (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715222000414
Full text for ScienceDirect subscribers only
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:eee:stapro:v:185:y:2022:i:c:s0167715222000414
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2022.109434
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().