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Adding runs 1 Augmentation 1 Computer-generated designs 1 Experimental design 1 Screening designs 1 Supersaturated designs 1
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Gutman, Alex J. 1 Hill, Raymond R. 1 Lin, Dennis K.J. 1 White, Edward D. 1
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Computational Statistics & Data Analysis 1
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Augmenting supersaturated designs with Bayesian D-optimality
Gutman, Alex J.; White, Edward D.; Lin, Dennis K.J.; … - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 1147-1158
A methodology is developed to add runs to existing supersaturated designs. The technique uses information from the analysis of the initial experiment to choose the best possible follow-up runs. After analysis of the initial data, factors are classified into one of three groups: primary,...
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