4.3 Article

Some new three-level orthogonal main effects plans robust to model uncertainty

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STATISTICA SINICA
卷 14, 期 4, 页码 1075-1084

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STATISTICA SINICA

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factor screening; fold-over designs; fractional replicate; orthogonal array; projection

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In this paper, we list some new orthogonal main effects plans for three-level designs for 4, 5 and 6 factors in IS runs and compare them with designs obtained from the existing L-18 orthogonal array. We show that these new designs have better projection properties and can provide better parameter estimates for a range of possible models. Additionally, we study designs in other smaller run-sizes when there are insufficient resources to perform an 18-run experiment. Plans for three-level designs for 4, 5 and 6 factors in 13 to 17 runs axe given. We show that the best designs here are efficient and deserve strong consideration in many practical situations.

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