Estimation of percentile residual life function with left-truncated and right-censored data

被引：1
|
作者：
Zhao, Mu [1 ,2 ]
Jiang, Hongmei [1 ]
Zhou, Yong [3 ,4 ]
机构：
[1] Northwestern Univ, Dept Stat, Evanston, IL 60208 USA
[2] Zhongnan Univ Econ & Law, Sch Stat & Math, Wuhan, Peoples R China
[3] Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
[4] Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2017年 / 46卷 / 02期
关键词：
Confidence interval; Left-truncated and right-censored data; Percentile residual life function; TJW product-limit process; PRODUCT-LIMIT ESTIMATOR; CONFIDENCE BANDS; CHARACTERIZATION THEOREM; QUANTILE PROCESS; MODEL; INFERENCE;
D O I：
10.1080/03610926.2015.1010006
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
This article focuses on the estimation of percentile residual life function with left-truncated and right-censored data. Asymptotic normality and a pointwise confidence interval that does not require estimating the unknown underlying distribution function of the proposed empirical estimator are obtained. Some simulation studies and a real data example are used to illustrate our results.
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页码：995 / 1006
页数：12
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