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1. Balanced augmented jackknife empirical likelihood for two sample U-statistics.

Author

Cheng, Conghua, Liu, Yiming, Liu, Zhi, and Zhou, Wang

Abstract

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 articial 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. [ABSTRACT FROM AUTHOR]

Published
2018
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