摘要
本文研究了加法风险率模型下聚类的当前状态数据(Ⅰ型区间删失数据)的回归分析问题.在相关的失效时间数据与簇类的规模有关的情形下,本文提出了一个簇内再抽样方法,并在一些正则条件下给出了相应估计量的极限分布理论.最后通过模拟实验验证了估计量的有限样本行为.
In this paper,we discuss regression analysis of clustered current status data under the additive hazards model.Under the situation when the correlated failure times of interest may be related to cluster sizes,by proposing a within-cluster resampling(WCR)method,the limit distribution theory for the corresponding estimators are derived under some regularity conditions.Some simulation studies are conducted to assess theˉnite-sample behaviors of the estimators.
作者
刘玉环
王成勇
LIU Yuhuan;WANG Chengyong(School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China;School of Mathematics and Computer Science, Hubei University of Arts and Science,Xiangyang 441053, China)
出处
《数学杂志》
2018年第1期67-74,共8页
Journal of Mathematics
基金
Supported by National Natural Science Foundation of China(71371066)
关键词
加法风险率模型
当前状态数据
簇内再抽样
additive hazards model
current status data
within-cluster resampling
