An experience in analyzing process optimization data in the presence of unknown confounding

• Main Author: Goh, T.N.
• Other Authors: INDUSTRIAL & SYSTEMS ENGINEERING
• Format: Article
• Published: 2014
• Subjects: Confounding; Design of experiments; Fractional factorial design; Optimization; Parameter design; Taguchi methods
• Online Access: http://scholarbank.nus.edu.sg/handle/10635/63003
• Institution: National University of Singapore

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