EMPIRICAL LIKELIHOOD-BASED INFERENCE IN LINEAR MODELS WITH INTERVAL CENSORED DATA

被引：0

作者：

He Qixiang Zheng Ming Department of Applied Mathematics

机构：

来源：

Applied Mathematics:A Journal of Chinese Universities | 2005年 / 03期

关键词：

interval censored data; linear model; empirical likelihood; unbiased transformation;

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：

An empirical likelihood approach to estimate the coefficients in linear model with interval censored responses is developed in this paper.By constructing unbiased transformation of interval censored data,an empirical log-likelihood function with asymptotic χ 2 is derived.The confidence regions for the coefficients are constructed.Some simulation results indicate that the method performs better than the normal approximation method in term of coverage accuracies.

引用

页码：338 / 346

页数：9

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