Bayesian - inspired minimum aberration two - and four - level designs
نویسنده
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. The approach is also capable of distinguishing between qualitative and quantitative factors. Numerous examples are given to demonstrate its advantages.
منابع مشابه
Bayesian-inspired mixed two- and four-level designs
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...
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