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More About This Title Response Surface Methodology: Process and ProductOptimization Using Designed Experiments, Second Edition
English
DOUGLAS C. MONTGOMERY, PhD, is Professor in the Department of Industrial Engineering at Arizona State University.
English
Introduction.
Building Empirical Models.
Two-Level Factorial Designs.
Two-Level Fractional Factorial Designs.
Process Improvement with Steepest Ascent.
The Analysis of Second-Order Response Surfaces.
Experimental Designs for Fitting Response Surfaces-I.
Experimental Designs for Fitting Response Surfaces-II.
Advanced Response Surface Topics I.
Advanced Response Surface Topics II.
Robust Parameter Design and Process Robustness Studies.
Experiments with Mixtures.
Other Mixture Design and Analysis Techniques.
Continuous Process Improvement with Evolutionary Operation.
Appendix 1: Variable Selection and Model-Building in Regression.
Appendix 2: Multicollinearity and Biased Estimation in Regression.
Appendix 3: Robust Regression.
Appendix 4: Some Mathematical Insights into Ridge Analysis.
Appendix 5: Moment Matrix of a Rotatable Design.
Appendix 6: Rotatability of a Second-Order Equiradial Design.
Appendix 7: Relationship Between D-Optimality and the Volume of a Joint Confidence Ellipsoid on ß.
Appendix 8: Relationship Between Maximum Prediction Variance in a Region and the Number of Parameters.
Appendix 9: The Development of Equation (8.21).
Appendix 10: Determination of Data Augmentation Result (Choice of xr+1 for the Sequential Development of a D-Optimal Design).
Index.
English
"A textbook for a graduate level course on the optimization of response surfaces under experiment." (SciTech Book News, Vol. 26, No. 2, June 2002)
"...highly recommended for purchase by all readers of this journal..." (Technometrics, Vol. 44, No. 3, August 2002)
"This book remains an excellent choice as a textbook...as well as for use by practitioners..." (Journal of the American Statistical Association, December 2002)
"...I recommend this book to anyone who would like a good, solid understanding of response surface methodology...easy to read, easy to understand, and very applicable...the examples are excellent and facilitate learning of the concepts and methods." (Journal of Quality Technology, Vol. 35, No. 4, October 2003)
