The bilinear mean residual quantile function

I. C. Aswin, P. G. Sankaran and S. M. Sunoj

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 19, 7115-7129

Abstract: In this paper, we introduce a class of distributions with bilinear mean residual quantile function. We study various distributional properties and reliability characteristics of the proposed class. Characterizations of the model are presented and the method of L-moments is employed to estimate parameters of the class of distributions. Finally, we illustrate the usefulness of the proposed claim to a real data set.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2022.2042022 (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:19:p:7115-7129

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

DOI: 10.1080/03610926.2022.2042022

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 ().