Sup-extropy: A measure of uncertainty

Husam A. Bayoud and Mohammad Z. Raqab

Communications in Statistics - Theory and Methods, 2024, vol. 53, issue 24, 8890-8903

Abstract: In a recent development, a new measure of uncertainty, termed extropy, was introduced as the dual complement of Shannon entropy. This study proposes a modified extropy measure called sup-extropy. The proposed uncertainty measure is shown to be minimal value when the data follow a uniform distribution. Various fundamental properties of this measure are thoroughly examined. The joint and conditional versions of this measure are also presented. To illustrate its practical implications, highlights into its application in letter-catching experiments and information fusion analysis are provided.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2024.2309984 (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:53:y:2024:i:24:p:8890-8903

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2024.2309984

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 ().