Includes bibliographical references (pages 665-676) and index.

1. Introduction -- 2. Building Empirical Models -- 3. Two-Level Factorial Designs -- 4. Two-Level Fractional Factorial Designs -- 5. Process Improvement with Steepest Ascent -- 6. Analysis of Second-Order Response Surfaces -- 7. Experimental Designs for Fitting Response Surfaces -- I -- 8. Experimental Designs for Fitting Response Surfaces -- II -- 9. Advanced Topics in Response Surface Methodology -- 10. Robust Parameter Design and Process Robustness Studies -- 11. Experiments with Mixtures -- 12. Other Mixture Design and Analysis Techniques -- Appendix 1. Moment Matrix of a Rotatable Design -- Appendix 2. Rotatability of a Second-Order Equiradial Design. "Identifying an appropriate response surface model from experimental data requires knowledge of statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods. This book integrates these three topics into a comprehensive, state-of-the-art presentation of response surface methodology (RSM). This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM. Working with the most useful software packages, the authors bring an applied focus that emphasizes models useful in industry for product and process design and development."--Jacket.