SOME LARGE SAMPLE PROPERTIES OF AN ESTIMATOR OF THE HAZARD FUNCTION FROM RANDOMLY CENSORED DATA

被引：0

作者：

王启华

机构：

来源：

Acta Mathematica Scientia | 1997年 / 02期

关键词：

Weak Convergence; Strong Consistency; Asymptotic Representation; Asymptotic Normality;

D O I：

暂无

中图分类号：

O212 [数理统计];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this paper, A nonparametric hazard estimtor is introduced. Weak convergence and strong uniformly coinsistency of the proposed estimator λn(t) are investigated on a bounded interval, respectively. An asymptotic representation of λn(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

共 50 条

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