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Identify the Optimal Baseline Design from the Plackett-Burman Design

DOI: 10.4236/ojapps.2026.161023, PP. 367-382

Keywords: Baseline Design, Plackett-Burman Design, Cyclic Generation Method

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Abstract:

In recent years, baseline designs have garnered extensive attention due to their broad applicability across numerous fields. In order to select excellent baseline designs, Mukerjee and Tang (2012) proposed the K -aberration criterion. The Plackett-Burman design represents a classic category of non-regular designs and has been relatively less studied as a baseline design. This paper, starting from the Plackett-Burman design, investigates the properties it exhibits when employed as a baseline design. We have obtained an important property: The sub-designs constructed from the column sets of the Plackett-Burman design with equivalent distance vectors possess the same K -aberration sequence. This property improves the efficiency of our search for the optimal K -aberration sub-designs of Plackett-Burman design.

References

[1]  Deng, L.-Y. and Tang, B. (1999) Generalized Resolution and Minimum Aberration Criteria for Plackett-Burman and Other Nonregular Factorial Designs. Statistica Sinica, 9, 1071-1082.
[2]  Mukerjee, R. and Tang, B. (2011) Optimal Fractions of Two-Level Factorials under a Baseline Parameterization. Biometrika, 99, 71-84.
https://doi.org/10.1093/biomet/asr071
[3]  Mukerjee, R. and Tang, B. (2016) Optimal Two-Level Regular Designs under Baseline Parametrization via Cosets and Minimum Moment Aberration. Statistica Sinica, 26, 1001-1019.
https://doi.org/10.5705/ss.202015.0214
[4]  Wu, C.F.J. and Hamada, M.S. (2011) Experiments: Planning, Analysis, and Optimization. John Wiley & Sons.

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