EconPapers    
Economics at your fingertips  
 

Moment-type estimators for a weighted exponential family

Roberto Vila and Helton Saulo

Communications in Statistics - Theory and Methods, 2026, vol. 55, issue 1, 237-252

Abstract: In this article, we propose and study closed-form moment-type estimators for a weighted exponential family. We also develop a bias-reduced version of these proposed closed-form estimators using bootstrap techniques. The estimators are evaluated using Monte Carlo simulation. This shows favorable results for the proposed bootstrap bias-reduced estimators. We illustrate the proposed methodology using two real-world datasets.

Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2025.2492840 (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:55:y:2026:i:1:p:237-252

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

DOI: 10.1080/03610926.2025.2492840

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 2026-02-04
Handle: RePEc:taf:lstaxx:v:55:y:2026:i:1:p:237-252