Existence of unbiased estimation for the minimum, maximum, and median in finite population sampling

A.S. Hedayat, Hansheng Cheng and Jennifer Pajda-De La O

Statistics & Probability Letters, 2019, vol. 153, issue C, 192-195

Abstract: The minimum, maximum, and median are important parameters in finite population sampling. We prove that there are no unbiased estimators of the minimum, maximum, or median for finite population sampling under any sampling design except census.

Keywords: Population quantile; Cancellation property; Discrete sampling (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715219301403
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:153:y:2019:i:c:p:192-195

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

DOI: 10.1016/j.spl.2019.05.011

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 ().