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AuthorBaklizi, Ayman
Available date2023-11-08T12:05:41Z
Publication Date2007-01-01
Publication NameJournal of Modern Applied Statistical Methods
Identifierhttp://dx.doi.org/10.22237/jmasm/1193890920
CitationBaklizi, A. (2007). A Simple Method for Finding Emperical Liklihood Type Intervals for the ROC Curve. Journal of Modern Applied Statistical Methods, 6(2), 23.‏
ISSN15389472
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=56249127147&origin=inward
URIhttp://hdl.handle.net/10576/49085
AbstractInterval estimation of the ROC curve is considered using the empirical likelihood techniques. Suggested is a procedure that is very simple computationally and avoids the constrained optimization problems usually faced with empirical likelihood methods. Various modifications are suggested and the performance of the intervals is evaluated in terms of their coverage probability. The results show tat some of the suggested intervals compete well with other intervals known in the literature. Copyright © 2007 JMASM, Inc.
Languageen
PublisherWayne State University
SubjectBootstrap
Empirical likelihood
Kernel estimators
ROC curve
TitleA simple method for finding empirical likelihood type intervals for the ROC curve
TypeArticle
Pagination589-595
Issue Number2
Volume Number6
dc.accessType Open Access


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