Survival function estimation of current status data with dependent censoring

被引：2

作者：

Hsieh, Jin-Jian ^{[1
]}

Chen, Yung-Yu ^{[1
]}

机构：

[1] Natl Chung Cheng Univ, Dept Math, Chiayi, Taiwan

来源：

STATISTICS & PROBABILITY LETTERS | 2020年 / 157卷

关键词：

Archimedean copula model; Current status data; Dependent censoring; Redistribution algorithm; REGRESSION-ANALYSIS; NONPARAMETRIC-ESTIMATION; ALGORITHM; MODELS;

D O I：

10.1016/j.spl.2019.108621

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 paper focuses on survival function estimation for dependent current status data. The Archimedean copula is applied to specify the dependency. Subsequently, a redistribution algorithm is proposed to estimate the survival function of the failure time. (C) 2019 Elsevier B.V. All rights reserved.

引用

页数：7

共 20 条

[1] STATISTICAL-INFERENCE PROCEDURES FOR BIVARIATE ARCHIMEDEAN COPULAS [J].