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Generalized foldover method for high-level designs
Statistics & Probability Letters ( IF 0.9 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.spl.2020.108795
Na Zou , Tingxun Gou , Hong Qin , Kashinath Chatterjee

Abstract Fractional factorial designs are popularly used in different fields of experimentations, which allow experimenters to study large number of potentially relevant factors with relatively small number of experimental units but suffer from the fact that some of the effects are aliased with some others. In order to overcome these drawbacks, the foldover technique is widely used to de-alias factor effects. This article aims at using the mirror image reflection to augment a given design, to improve its properties in terms of the uniformity criterion measured by Lee discrepancy.

中文翻译:

高级设计的广义折叠方法

摘要 部分因子设计广泛用于不同的实验领域,它允许实验者用相对较少的实验单元来研究大量潜在相关的因素,但会受到一些影响与其他一些影响混淆的事实。为了克服这些缺点,折叠技术被广泛用于消除混叠因子效应。本文旨在使用镜像反射来增强给定的设计,以改善其根据 Lee 差异测量的均匀性标准的特性。
更新日期:2020-09-01
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