Parametric Estimator of Linear Model with Interval-Censored Data

被引：7

作者：

Deng, Wenli ^{[1
]}

Tian, Yong ^{[2
]}

Lv, Qiuping ^{[1
]}

机构：

[1] Jiangxi Normal Univ, Dept Math & Informat Sci, Nanchang, Jiangxi, Peoples R China

[2] Jiangxi Agr Univ, Inst Technol, Nanchang, Peoples R China

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2012年 / 41卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Interval-censored data; Least square method; Linear model; Unbiased transformation; FAILURE TIME DATA; REGRESSION;

D O I：

10.1080/03610918.2011.621571

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：

In this article, we consider the estimation of regression parameters in linear model in the presence of interval-censored data. When the response variable is interval-censored, the traditional methods can not be used to estimate the parameters directly. In this article, unbiased transformation is carried out and a new random variable which has the same expectation as the function of the response variable is established. With the regression analysis for the constructed statistic we conclude the estimator by least square method.

引用

页码：1794 / 1804

页数：11

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