BOOTSTRAPPING QUANTILES IN THE PROPORTIONAL HAZARDS MODEL OF RANDOM CENSORSHIP

被引：3

作者：

VERAVERBEKE, N ^{[1
]}

机构：

[1] LIMBURGS UNIV CENTRUM,B-3590 DIEPENBEEK,BELGIUM

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1994年 / 23卷 / 04期

关键词：

ACL-ESTIMATOR; BOOTSTRAP APPROXIMATION; CONSISTENCY; PROPORTIONAL HAZARDS MODEL OF RANDOM CENSORSHIP; QUANTILES;

D O I：

10.1080/03610929408831300

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：

We consider bootstrap theory for quantile estimation in the proportional hazards model of random censorship. In this model, the tail of the distribution function of the censoring time Y is some power of the tail of the distribution function of the survival time X. The bootstrap resampling scheme mimics a well known characterizing property of the model, namely the independence of min(X, Y) and I(X less-than-or-equal-to Y).

引用

页码：997 / 1007

页数：11

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