Bayesian-inspired mixed two- and four-level designs
نویسندگان
چکیده
Motivated by a Bayesian framework, we propose a new minimum aberration type criterion for designing experiments with twoand four-level factors. The Bayesian approach helps in overcoming the ad hoc nature of effect ordering in the existing minimum aberration type criteria. Moreover, the approach is also capable of distinguishing between qualitative and quantitative factors. Numerous examples are given to demonstrate the advantages of the proposed approach. Some key words: Bayesian method; Minimum aberration; Qualitative factor; Quantitative factor. To appear in Biometrika
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