Kernel estimators of the ROC curve are better than empirical
Lloyd, CJ; Yong, Z
刊名STATISTICS & PROBABILITY LETTERS
1999-09-15
卷号44期号:3页码:221-228
关键词relative deficiency empirical estimator kernel estimator ROC curve
ISSN号0167-7152
英文摘要The receiver operating characteristic (ROC) is a curve used to summarise the performance of a binary decision rule. It can be expressed in terms of the underlying distributions functions of the diagnostic measurement that underlies the rule. Lloyd (1998) has proposed estimating the ROC curve from kernel smoothing of these distribution functions and has presented asymptotic formulas for the bias and standard deviation of the resulting curve estimator. This paper compares the asymptotic accuracy of the kernel-based estimator with the fully empirical estimator. It is shown that the empirical estimator is deficient compared to the kernel estimator and that this deficiency is unbounded as sample size increases. A simulation study using both unimodal and bimodal distributions indicates that the gains in accuracy are significant for realistic sample sizes. Kernel-based ROC estimators can now be recommended. (C) 1999 Elsevier Science B.V. All rights reserved. MSG. primary 62G05; 60F17; secondary 62E20; 62G20.
WOS研究方向Mathematics
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000081996000002
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/14696]  
专题中国科学院数学与系统科学研究院
作者单位1.Univ New S Wales, Australian Grad Sch Management, Kensington, NSW 2052, Australia
2.Acad Sinica, Inst Appl Math, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Lloyd, CJ,Yong, Z. Kernel estimators of the ROC curve are better than empirical[J]. STATISTICS & PROBABILITY LETTERS,1999,44(3):221-228.
APA Lloyd, CJ,&Yong, Z.(1999).Kernel estimators of the ROC curve are better than empirical.STATISTICS & PROBABILITY LETTERS,44(3),221-228.
MLA Lloyd, CJ,et al."Kernel estimators of the ROC curve are better than empirical".STATISTICS & PROBABILITY LETTERS 44.3(1999):221-228.
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