Empirical likelihood-based inference in linear models with interval censored data

被引：0

作者：

Qixiang H. ^{[1
]}

Ming Z. ^{[2
]}

机构：

[1] Department of Applied Mathematics, Shanghai University of Finance and Economics, Shanghai

[2] Department of Statistics, Fudan University, Shanghai

来源：

Applied Mathematics-A Journal of Chinese Universities | 2005年 / 20卷 / 3期

关键词：

Empirical likelihood; Interval censored data; Linear model; Unbiased transformation;

D O I：

10.1007/s11766-005-0010-z

中图分类号：

学科分类号：

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 χ2 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. © 2005 Springer Verlag.

引用

页码：338 / 346

页数：8

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