Unbiased ratio-type variance estimation

M. C. Agrawal and A. B. Sthapit

Statistics & Probability Letters, 1995, vol. 25, issue 4, 361-364

Abstract: Based on auxiliary information, certain new ratio-type strategies for estimating the population variance, aside from the existing ones that are biased, have been proposed with a view to achieving unbiasedness for them via appropriate sampling schemes. While mooting one of the estimators, consideration has been shown to the fact that knowledge of the population mean is available. Relative performance of these estimators has also been examined.

Keywords: Unbiased; estimators; of; the; population; variance; Sampling; schemes (search for similar items in EconPapers)
Date: 1995
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(94)00242-7
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:25:y:1995:i:4:p:361-364

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 ().