Identifying Significant Effects in Unreplicated Regular Two-level Factorial Experiments

被引：0
|
作者：
Hui Li
Sheng-li Zhao
机构：
[1] Qufu Normal University,School of Statistics
[2] Nankai University,School of Statistics and Data Science, LPMC and KLMDASR
来源：
Acta Mathematicae Applicatae Sinica, English Series | 2020年 / 36卷
关键词：
Two-level factorial experiment; factorial effect; significant effect; Monte Carlo; 62K15;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The paper gives a new method to identify significant effects in two-level factorial experiments, and compares the new method with the exiting methods using Monte Carlo simulation. The existing methods only perform well under the assumption of effect sparsity, but the new method performs well without effect sparsity.
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页码：816 / 824
页数：8
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