A note on estimating quantiles of exponential populations
Somesh Kumar and
Divakar Sharma
Statistics & Probability Letters, 1996, vol. 26, issue 2, 115-118
Abstract:
Independent random samples from k exponential populations with the same location parameter [theta] but different scale parameters [sigma]1, ..., [sigma]k are available. We estimate the quantile [eta]1 = [theta] + b[alpha]1 of the first population with respect to squared error loss. Sharma and Kumar (1994) derived the UMVUE of [eta]1 and then obtained further improvements over it for b > n-1. For 0 [less-than-or-equals, slant] b
Keywords: Quantiles; Uniformly; minimum; variance; unbiased; estimator; Affine; equivariant; estimator; Orbit-by-orbit; improvement (search for similar items in EconPapers)
Date: 1996
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(94)00260-6
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:26:y:1996:i:2:p:115-118
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 ().