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|Title:||Jackknife empirical likelihood||Authors:||Jing, B.-Y.
|Issue Date:||2009||Citation:||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|
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