Three-level designs: Evaluation and comparison for screening purposes |
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Authors: | Mohammed Alomair Stelios Georgiou Stella Stylianou |
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Affiliation: | 1. School of Science, Royal Melbourne Institute of Technology University, Melbourne, Victoria, Australia Department of Mathematics, Al Imam Muhammad Bin Saud Islamic University (IMSIU), Riyadh, Saudi Arabia;2. School of Science, Royal Melbourne Institute of Technology University, Melbourne, Victoria, Australia |
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Abstract: | Since their introduction by Box and Hunter, resolution criteria have been widely used when comparing regular fractional factorials designs. In this article, we investigate how a generalized resolution criterion can be used to assess some recently developed three-level screening designs, such as definitive screening designs (DSDs) and screening designs from weighing matrices. The aim of this paper is to capture the projection properties of those three-level screening designs, complementing the work of Deng and Tang, who used generalized resolution and minimum aberration criteria for ranking different two-level designs, particularly Plackett-Burman and other nonregular factorial designs. An advantage of generalized resolution, extended here to work on three-level designs, is that it offers a useful criterion for ranking three-level screening designs, whereas the Deng and Tang resolution is used mainly for the assessment of two-level designs. In addition, we applied a projection estimation capacity (PEC) criterion to select three-level screening designs with desirable properties. Practical examples and the best projections of the designs are presented in tables. |
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Keywords: | factorial designs generalized resolution linear models projection estimation capacity screening |
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