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.

中文翻译：

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识别不可重复的常规两级析因实验中的重大影响

本文提出了一种新的方法来识别两级析因实验中的重大影响，并使用蒙特卡洛模拟将该新方法与现有方法进行比较。现有方法仅在效果稀疏性的假设下表现良好，而新方法在没有效果稀疏性的情况下表现良好。