A more powerful test method for analyzing unreplicated factorial two-level experiments

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-04-12 DOI:10.1080/03610918.2024.2338186

Y. Chen

引用次数: 0

Abstract

Most of existing methods for analyzing unreplicated two-level factorial designs need the assumption of effect sparsity and only perform well when the effectssparsity assumption holds. The effects-s...

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分析无重复因子两水平实验的更强大测试方法

现有的大多数分析无重复两级因子设计的方法都需要效应稀疏性假设，而且只有当效应稀疏性假设成立时，这些方法才会表现良好。效应稀疏性假定是一个非常复杂的问题。

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来源期刊

Communications in Statistics-Simulation and Computation 数学-统计学与概率论

CiteScore

2.50

自引率

11.10%

发文量

240

审稿时长

6 months

期刊介绍： The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.