Uniform consistency for conditional lifetime distribution estimators under random right-censorship

被引：2

作者：

Deheuvels, Paul ^{[1
]}

Derzko, Gerard ^{[1
]}

机构：

[1] Univ Paris 06, Paris, France

来源：

ADVANCES IN STATISTICAL METHODS FOR THE HEALTH SCIENCES: APPLICATIONS TO CANCER AND AIDS STUDIES, GENOME SEQUENCE ANALYSIS, AND SURVIVAL ANALYSIS | 2007年

关键词：

nonparametric estimation; lifetime distributions; regression estimation; kernel estimation; empirical processes; functional estimation; weak laws; laws of large numbers;

D O I：

10.1007/978-0-8176-4542-7_13

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

We define nonparametric kernel-type estimators of the conditional distribution of a lifetime, in a random censorship framework. We show that these estimators have closed-form expressions, and establish their strong uniform consistency under minimal assumptions.

引用

页码：195 / +

页数：3

共 15 条

[1] STRONG APPROXIMATIONS OF SOME BIOMETRIC ESTIMATES UNDER RANDOM CENSORSHIP [J].