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

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

Quality Engineering

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Bibliographic Details
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
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Institution: National University of Singapore

Internet

http://scholarbank.nus.edu.sg/handle/10635/63003

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