This bestseller shows how to design and analyze experiments statistically, drive process and product innovation, and improve productivity. It presents an approach to experimentation that assesses many factors, builds predictive models, and verifies the models. This fourth edition contains four new chapters on mixture experiments, updated compute
This bestseller shows how to design and analyze experiments statistically, drive process and product innovation, and improve productivity. It presents an approach to experimentation that assesses many factors, builds predictive models, and verifies the models. This fourth edition contains four new chapters on mixture experiments, updated computeHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Thomas B. Barker is a professor emeritus at Rochester Institute of Technology (RIT), where he taught for 35 years before retiring in 2005. Prior to RIT, he was an engineer at Xerox. Visit his website for more information. Andrew Milivojevich, P.Eng., M.Sc., is the president of The Knowledge Management Group Inc. (TKMG), where he manages R&D, Six Sigma, lean workflow simplification, and other business process improvement initiatives for client organizations. He is a fellow of the American Society for Quality (ASQ) and was the first ASQ-certified Six Sigma Black Belt in Canada. Visit his website for more information.
Inhaltsangabe
The Philosophy of Experimentation. Statistical Experimental Design. Sorting the Signal from the Noise. The Derivation of Empirical Equations from Statistically Designed Experiments. Utilization of Empirical Equations. Special Topics in Experimental Design Mixture Experiments.
The Philosophy of Experimentation. Statistical Experimental Design. Sorting the Signal from the Noise. The Derivation of Empirical Equations from Statistically Designed Experiments. Utilization of Empirical Equations. Special Topics in Experimental Design Mixture Experiments.
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