A note on the delete-d jackknife variance estimators

Xiquan Shi

Statistics & Probability Letters, 1988, vol. 6, issue 5, 341-347

Abstract: In this note, a new delete-d jackknife variance estimator Vj(d)* is proposed, which differs from the original delete-d jackknife estimator Vj(d). It is shown that Vj(d)* is less biased than Vj(d).

Keywords: delete-d; jackknife; variance; estimation; ANOVA-like; decomposition (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(88)90011-9
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:6:y:1988:i:5:p:341-347

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 ().