Consistency of nonparametric maximum likelihood estimation of a distribution function based on doubly interval-censored failure time data

被引：5

作者：

Fang, HB ^{[1
]}

Sun, JG ^{[1
]}

机构：

[1] Univ Missouri, Dept Stat, Columbia, MO 65211 USA

来源：

STATISTICS & PROBABILITY LETTERS | 2001年 / 55卷 / 03期

基金：

美国国家卫生研究院;

关键词：

consistency; doubly interval-censored data; nonparametric maximum likelihood estimation; self-consistent estimator;

D O I：

10.1016/S0167-7152(01)00160-2

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 study the nonparametric maximum likelihood estimation of a failure time distribution function based on doubly interval-censored data. A self-consistent equation is derived for the estimator. Furthermore, the strong consistency of the estimator is established. (C) 2001 Published by Elsevier Science B.V.

引用

页码：311 / 318

页数：8

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