Controlled Morris method: A new factor screening approach empowered by a distribution-free sequential multiple testing procedure

被引:9
|
作者
Shi, Wen [1 ]
Chen, Xi [2 ]
机构
[1] Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China
[2] Virginia Tech, Grado Dept Ind & Syst Engn, Blacksburg, VA 24041 USA
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Simulation; Factor screening; Sequential multiple hypothesis testing; Nonparametric estimation; KERNEL DENSITY-ESTIMATION; PROBABILITY-RATIO TEST; SENSITIVITY-ANALYSIS; SIMULATION; DESIGNS; MODELS; TIME;
D O I
10.1016/j.ress.2019.04.038
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The Morris method (MM) is a well known model-free factor screening approach that is considered particularly effective when the number of factors is large or when the computer model is computationally expensive to run. In this paper, we propose the controlled Morris method (CMM) for simulation-based factor screening, which integrates a distribution-free sequential multiple testing procedure with MM to control the Type I and Type II familywise error rates at the prescribed levels while achieving a high computational efficiency. Numerical experiments are provided to demonstrate the efficacy and efficiency of CMM.
引用
收藏
页码:299 / 314
页数:16
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