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Balanced augmented jackknife empirical likelihood for two sample U-statistics

Balanced augmented jackknife empirical likelihood for two sample U-statistics
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摘要 In this paper, we investigate the two sample U-statistics by jackknife empirical likelihood(JEL),a versatile nonparametric approach. More precisely, we propose the method of balanced augmented jackknife empirical likelihood(BAJEL) by adding two artificial points to the original pseudo-value dataset, and we prove that the log likelihood ratio based on the expanded dataset tends to the χ~2 distribution. In this paper, we investigate the two sample U-statistics by jackknife empirical likelihood (JEL), a versatile nonparametric approach. More precisely, we propose the method of balanced augmented jackknife empirical likelihood (BAJEL) by adding two artificial points to the original pseudo-value dataset, and we prove that the log likelihood ratio based on the expanded dataset tends to the χ2 distribution.
出处 《Science China Mathematics》 SCIE CSCD 2018年第6期1129-1138,共10页 中国科学:数学(英文版)
基金 supported by the Natural Science Foundation of Guangdong Province(Grant No.2016A030307019) the Higher Education Colleges and Universities Innovation Strong School Project of Guangdong Province(Grant No.2016KTSCX153) Science and Technology Development Fund of Macao(Grant No.127/2016/A3) National Natural Science Foundation of China(Grant No.11401607) a grant at the National University of Singapore(Grant No.R-155-000-181-114)
关键词 折刀 实验 样品 平衡 统计 数据集 jackknife empirical likelihood U-statistics ROC curves balanced augmented empirical likelihood
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