Estimation of a linear function of the parameters of an exponential distribution from doubly censored samples

Abdulaziz Elfessi

Statistics & Probability Letters, 1997, vol. 36, issue 3, 251-259

Abstract: In this paper improved estimators of the scale and its reciprocal, [theta](0-1), and the location, [mu], of a two-parameter exponential distribution are given based on a doubly censored sample. Also the problem of estimating the linear function [mu] + z[theta] is considered, where z is a given constant. It is shown that the improved estimators are better than the best affine equivariant estimators.

Keywords: Exponential; distribution; Scale; and; location; parameters; Censored; samples; Equivariant; estimator; Admissible; estimator (search for similar items in EconPapers)
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(97)81470-8
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:36:y:1997:i:3:p:251-259

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

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 ().