Identifying Significant Effects in Unreplicated Regular Two-level Factorial Experiments

• 作者: Hui LI Sheng-li ZHAO
• 来源期刊: 应用数学学报（英文版）
• 年，卷（期）: 2020,（4）
• 页码范围: 816-824
• 页数: 9页
• 语种: 英文

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.