Testing homogeneity in Weibull error in variables models

被引：2
|
作者：
Valença, DM
Bolfarine, H
机构：
[1] Univ Fed Rio Grande Norte, CCET, Dept Estat, BR-59072970 Natal, RN, Brazil
[2] Univ Sao Paulo, IME, Dept Estat, BR-05311970 Sao Paulo, Brazil
来源：
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS | 2006年 / 58卷 / 01期
关键词：
homogeneity test; measurement errors; corrected score; accelerated failure time model;
D O I：
10.1007/s10463-005-0006-8
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 discuss properties of the score statistics for testing the null hypothesis of homogeneity in a Weibull mixing model in which the group effect is modelled as a random variable and some of the covariates are measured with error. The statistics proposed are based on the corrected score approach and they require estimation only under the conventional Weibull model with measurement errors and does not require that the distribution of the random effect be specified. The results in this paper extend results in Gimenez, Bolfarine, and Colosimo (Annals of the Institute of Statistical Mathematics, 52, 698-711, 2000) for the case of independent Weibull models. A simulation study is provided.
引用
收藏
页码：115 / 129
页数：15
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