EconPapers    
Economics at your fingertips  
 

A new family of quantile functions and its applications

Dileep Kumar Maladan and Paduthol Godan Sankaran

Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 18, 4216-4235

Abstract: The present paper introduces a new method for constructing a flexible family of distributions defined by a quantile function. We derive a new class of distributions, which is an extension of the class of distributions with linear mean residual quantile function. Various distributional properties and reliability characteristics are discussed. The estimation of parameters using the method of percentiles is studied. The model is applied to a real-life data.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1713368 (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:50:y:2021:i:18:p:4216-4235

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

DOI: 10.1080/03610926.2020.1713368

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 ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:50:y:2021:i:18:p:4216-4235