Some large sample properties of an estimator of the hazard function from randomly censored data

被引：4

作者：

Wang, QH ^{[1
]}

机构：

[1] CHINESE ACAD SCI,INST APPL MATH,BEIJING 100080,PEOPLES R CHINA

来源：

ACTA MATHEMATICA SCIENTIA | 1997年 / 17卷 / 02期

关键词：

weak convergence; strong consistency; asymptotic representation; asymptotic normality;

D O I：

10.1016/S0252-9602(17)30839-1

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, A nonparametric hazard estimator is introduced. Weak convergence and strong uniformly consistency of the proposed estimator lambda(n)(t) are investigated on a bounded interval, respectively. An asymptotic representation of lambda(n)(t) is also given, and the asymptotic representation is used to prove asymptotic normality of the hazard estimator.

引用

页码：230 / 240

页数：11

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