684 pages, Figs, tabs
Douglas Montgomery arms readers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. He shows how to use statistically designed experiments to obtain information for characterization and optimization of systems, improve manufacturing processes, and design and develop new processes and products. You will also learn how to evaluate material alternatives in product design, improve the field performance, reliability, and manufacturing aspects of products, and conduct experiments effectively and efficiently. Discover how to improve the quality and efficiency of working systems with this highly-acclaimed book.
students will continue to find this book useful as a reference text long after the course they bought it for has finished. (Quality & Reliability Engineering International, , March/April 2002)
Chapter 1. Introduction.Chapter 2. Simple Comparative Experiments.Chapter 3. Experiments with a Single Factor: The Analysis of Variance.Chapter 4. Randomized Blocks, Latin Squares, and Related Designs.Chapter 5. Introduction to Factorial Designs.Chapter 6. The 2k Factorial Design.Chapter 7. Blocking and Confounding in the 2k Factorial Design.Chapter 8. Two-Level Fractional Factorial Designs.Chapter 9. Three-Level and Mixed-Level Factorial and Fractional Factorial Designs.Chapter 10. Fitting Regression Models.Chapter 11. Response Surface methods and Designs.Chapter 12. Robust Parameter Design and Process Robustness Studies.Chapter 13. Experiments with Random Factors.Chapter 14. Nested and Split-Plot Designs.Chapter 15. Other Design and Analysis Topics.Bibliography.Appendix.Table I: Cumulative Standard Normal Distribution.Table II: Percentage Points of the t Distribution.Table III: Percentage Points of the X2 Distribution.Table IV: Percentage Points of the F Distribution.Table V: Operating Characteristic Curves for the Fixed Effects Model Analysis of Variance.Table VI: Operating Characteristic Curves for the Random Effects Model Analysis of Variance.Table VII: Percentage Points of the Studentized Range Statistic.Table VIII: Critical Values for Dunnett's Test for Comparing Treatments with a Control.Table IX: Coefficients of Orthogonal Polynomials.Table X: Alias Relationships for 2k-p Fractional Factorial Designs with K<15 and n<6f4. " 15 and n " 64.Index.
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Douglas C. Montgomery Professor of Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering, from 1969 to 1984 he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988 he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering. Dr. Montgomery has research and teaching interests in industrial statistics including statistical quality control techniques, design of experiments, regression analysis and empirical model building, and the application of operations research methodology to problems in manufacturing systems. He has authored and coauthored many technical papers in these fields and is an author of twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, a Fellow of the American Statistical Association, a Fellow of the Royal Statistical Society, a Fellow of the Institute of Industrial Engineers, and an Elected member of the International Statistical Institute. He is a Stewart Medallist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ. He is a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology, the current editor of Quality and Reliability Engineering International, and serves on the editorial boards of several journals.