3 papers
stat.ME2019
Jackknife Empirical Likelihood Approach for K-sample Tests
Yongli Sang, Xin Dang, Yichuan Zhao
The categorical Gini correlation is an alternative measure of dependence between a categorical and numerical variables, which characterizes the independence of the variables. A non…
stat.ME2019
Depth-based Weighted Jackknife Empirical Likelihood for Non-smooth U-structure Equations
Yongli Sang, Xin Dang, Yichuan Zhao
In many applications, parameters of interest are estimated by solving some non-smooth estimating equations with -statistic structure. Jackknife empirical likelihood (JEL) approa…
stat.ME2018
Jackknife Empirical Likelihood Methods for Gini Correlations and their Equality Testing
Yongli Sang, Xin Dang, Yichuan Zhao
The Gini correlation plays an important role in measuring dependence of random variables with heavy tailed distributions, whose properties are a mixture of Pearson's and Spearman's…