Nonparametric Estimation of the Bivariate Distribution Function with Doubly Censored Data

被引：0

作者：

Shen, Pao-Sheng ^{[1
]}

机构：

[1] Tunghai Univ, Dept Stat, Taichung 40704, Taiwan

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2012年 / 41卷 / 02期

关键词：

Inverse-probability-weighted; Left censoring; Right censoring; SELF-CONSISTENT ESTIMATORS; KAPLAN-MEIER ESTIMATOR; SURVIVAL FUNCTION; WEIGHTED AVERAGE; WEAK-CONVERGENCE; TRUNCATED DATA;

D O I：

10.1080/03610926.2010.521280

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：

In this article, we consider estimating the bivariate distribution function when both components are subject to double censoring. Using an inverse-probability-weighted approach, we propose a self-consistent estimator. The asymptotic properties of the proposed estimator are derived. A simulation study is conducted to investigate the performance of the proposed estimator.

引用

页码：195 / 211

页数：17

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