Generalized foldover method for high-level designs

Na Zou, Tingxun Gou, Hong Qin and Kashinath Chatterjee

Statistics & Probability Letters, 2020, vol. 164, issue C

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.

Keywords: Mirror image; Generalized foldover; Lee discrepancy; Uniformity; Lower bound (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1016/j.spl.2020.108795

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