On simplifying the calculations leading to designs with general minimum lower-order confounding |
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Authors: | Jia-Lin Wei Jian-Feng Yang |
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Institution: | 1. School of Sciences, Tianjin University of Commerce, Tianjin, 300134, China 2. School of Mathematical Sciences and LPMC, Nankai University, Tianjin, 300071, China
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Abstract: | Motivated by the effect hierarchy principle, Zhang et al. (Stat Sinica 18:1689–1705, 2008) introduced an aliased effect number pattern (AENP) for regular fractional factorial designs and based on the new pattern proposed a general minimum lower-order confounding (GMC) criterion for choosing optimal $2^{n-m}$ designs. Zhang et al. (Stat Sinica 18:1689–1705, 2008) proved that most existing criteria can be obtained by functions of the AENP. In this paper we propose a simple method for the calculation of AENP. The method is much easier than before since the calculation only makes use of the design matrix. All 128-run GMC designs with the number of factors ranging from 8 to 32 are provided for practical use. |
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