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Two-sample functional linear models with functional responses 期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2022, 卷号: 218, 页码: 85-105
作者:  Xu, Wenchao;  Lin, Hongmei;  Zhang, Riquan;  Liang, Hua
收藏  |  浏览/下载:125/0  |  提交时间:2022/04/02
Asymptotic normality  Functional linear regression  Functional response  Functional principal component analysis  Rate of convergence  Semiparametric comparison  
Semiparametric inference for ROC curves with censoring 期刊论文
SCANDINAVIAN JOURNAL OF STATISTICS, 2008, 卷号: 35, 期号: 2, 页码: 212-227
作者:  Hua Liang;  Yong Zhou
收藏  |  浏览/下载:97/0  |  提交时间:2018/07/30
confidence interval  coverage  empirical likelihood function  empirical likelihood ratio  estimating equation  Kaplan-Meier estimation  
Block empirical likelihood for longitudinal partially linear regression models 期刊论文
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2006, 卷号: 34, 期号: 1, 页码: 79-96
作者:  You, JH;  Chen, GM;  Zhou, Y
收藏  |  浏览/下载:102/0  |  提交时间:2018/07/30
block empirical likelihood  confidence region  longitudinal data  partially linear regression model  semiparametric inference  Wilks theorem  
Empirical-likelihood-based serniparametric inference for the treatment effect in the two-sample problem with censoring 期刊论文
BIOMETRIKA, 2005, 卷号: 92, 期号: 2, 页码: 271-282
作者:  Zhou, Y;  Liang, H
收藏  |  浏览/下载:127/0  |  提交时间:2018/07/30
confidence interval  coverage  empirical likelihood function  empirical likelihood ratio  estimating equation  Kaplan-Meier estimation  
L1-Norm Estimation and Random Weighting Method in a Semiparametric Model 期刊论文
应用数学学报:英文版, 2005, 卷号: 21.0, 期号: 002, 页码: 295-302
作者:  Xue Liugen;  Zhu Lixing
收藏  |  浏览/下载:89/0  |  提交时间:2021/01/14
L1-范式估计  随机加权法  半参数回归模型  数理统计  
Semiparametric regression analysis with missing response at random 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2004, 卷号: 99, 期号: 466, 页码: 334-345
作者:  Wang, QH;  Linton, O;  Hardle, W
收藏  |  浏览/下载:148/0  |  提交时间:2018/07/30
empirical likelihood  partially linear model  semiparametric imputation  weighting estimator