Please use this identifier to cite or link to this item: https://doi.org/10.1198/jasa.2009.tm08260
Title: Jackknife empirical likelihood
Authors: Jing, B.-Y.
Yuan, J.
Zhou, W. 
Keywords: Confidence regions
Empirical likelihood
Jackknife
Pseudo-values
U-statistics
Issue Date: 2009
Source: Jing, B.-Y., Yuan, J., Zhou, W. (2009). Jackknife empirical likelihood. Journal of the American Statistical Association 104 (487) : 1224-1232. ScholarBank@NUS Repository. https://doi.org/10.1198/jasa.2009.tm08260
Abstract: Empirical likelihood has been found very useful in many different occasions. However, when applied directly to some more complicated statistics such as U-statistics, it runs into serious computational difficulties. In this paper, we introduce a so-called jackknife empirical likelihood (JEL) method. The new method is extremely simple to use in practice. In particular, the JEL is shown to be very effective in handling one and two-sample U-statistics. The JEL can be potentially useful for other nonlinear statistics. © 2009 American Statistical Association.
Source Title: Journal of the American Statistical Association
URI: http://scholarbank.nus.edu.sg/handle/10635/105187
ISSN: 01621459
DOI: 10.1198/jasa.2009.tm08260
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

78
checked on Apr 16, 2018

WEB OF SCIENCETM
Citations

74
checked on Apr 16, 2018

Page view(s)

75
checked on Mar 12, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.