欢迎光临!
您现在所在的位置:首页 >> 通知公告 & 学术信息
学术信息
SEMINARS
院庆90周年综合报告:Semiparametric Monitoring test based on clustered data
时间  Datetime
2018-11-13 14:00 — 15:00 
地点  Venue
Middle Lecture Room
报告人  Speaker
Jiahua Chen
单位  Affiliation
School of Mathematics and Statistics Yunnan University
邀请人  Host
韩东
报告摘要  Abstract
Due to factors such as climate change, forest fire, plague of insects on lumber quality,
it is important to update (statistical) procedures in American Society for 
Testing and Materials (ASTM) Standard D1990 (adopted in 1991) from time to time.
The statistical component of the problem is to detect the change in the lower percentiles 
of the solid lumber strength. Verrill et al.\ (2015) studied eight statistical tests
proposed by wood scientists to determine if they perform acceptably when applied to 
test data from a monitoring program. Some well-known methods such as Wilcoxon 
and Kolmogorov-Smirnov tests are found to have severely inflated type I errors 
when the data are clustered. A new method that performs well in the presence
of random effects is therefore in urgent need. In this talk, we develop a novel test 
by combining composite empirical likelihood, cluster-based bootstrapping and density ratio model.
The test satisfactorily controls the type I error  in monitoring the trend of lower quantiles 
and conclusions are supported by asymptotic results. Our results are generic, not 
confined to wood industry applications.