Synopsis
An extensive use and analysis of orthogonal arrays and Taguchi's parameter design are the major contents of this book. New features are: introduction of Pareto-type ANOVA, simultaneous optimization in parameter design; robust response surface designs
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About the Author
Sung H. Park is currently a Professor in the Department of Computer Science and Statistics at Seoul National University, South Korea.
From the Back Cover
This book is written primarily for engineers who want to use statistical designs for quality engineering, and for statisticians who want to know the wide range of applications of experimental design in the manufacturing industry. Significantly, Robust Design and Analysis for Quality Engineering addresses the following techniques: Taguchi's quality engineering approaches, concepts of robustness in experimental designs, response surface design and its applications, Pareto-type ANOVA for analysis of parameter design, and strategies of quality improvement efforts through robust design and analysis. Through a series of real case studies, these important techniques are made readily accessible to all readers. This is also the key text for senior undergraduate and postgraduate students studying engineering and experimental design.
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Robust Design and Analysis for Quality Engineering
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Norwell, Massachusetts, U.S.A.: Chapman & Hall, 1996
ISBN 10: 0412556200
ISBN 13: 9780412556203
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