An unbiased estimator for the survival function of censored data

被引：4

作者：

Chiu, SN ^{[1
]}

机构：

[1] Hong Kong Baptist Univ, Dept Math, Kowloon, Peoples R China

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1999年 / 28卷 / 09期

关键词：

generalized reduced sample type estimator; Kaplan-Meier; Nelson-Aalen; random censorship;

D O I：

10.1080/03610929908832419

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：

A monotonic, pointwise unbiased and uniformly consistent estimator for the survival function of failure time under the random censorship model is proposed. This estimator is closely related to the Kaplan-Meier, the Nelson-Aalen, and the reduced sample estimator. Large sample properties of the new estimator are discussed.

引用

页码：2249 / 2260

页数：12

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