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GA-optimal Partially Balanced Fractional 2m1+m2 Factorial Designs of Resolutions R({10,01} ∪ Ω* | Ω) with 2 ≤ m1, m2 ≤ 4

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Abstract

We consider a partially balanced fractional 2m1+m2 factorial design derived from a simple partially balanced array such that all the m1 main effects (= θ10, say) and all the m2 ones (= θ01, say) are estimable, and in addition that the general mean (= θ00, say) is at least confounded (or aliased) with the factorial effects of the (2 m1) two-factor interactions (= θ20, say), the (2 m2) ones (= θ02, say) and/or the m1m2 ones ( = θ11, say), where the three-factor and higher-order interactions are assumed to be negligible, and 2 ≤ mk for k = 1,2. Furthermore optimal designs with respect to the generalized A-optimality criterion are presented for 2 ≤ m1,m2 ≤ 4 when the number of assemblies is less than the number of non-negligible factorial effects.

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Correspondence to Shujie Lu.

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Lu, S., Taniguchi, E., Hyodo, Y. et al. GA-optimal Partially Balanced Fractional 2m1+m2 Factorial Designs of Resolutions R({10,01} ∪ Ω* | Ω) with 2 ≤ m1, m2 ≤ 4. J Stat Theory Pract 1, 427–464 (2007). https://doi.org/10.1080/15598608.2007.10411851

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  • DOI: https://doi.org/10.1080/15598608.2007.10411851

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