• 1. Introduction to Quality Improvement.- 2. Statistical Methods for Data Analysis.- 3. Design of Regression Experiments.- 4. Taguchi’s Approach to Quality Improvement.- 5. Quality Improvement through Reduction of the Errors Transmitted from the Factors to the Response.- 6. Optimization Procedures for Robust Design of Products and Processes with Errors in the Factors.- 7. Robustness against both Errors in Product Parameters and External Noise Factors.- 8. Quality Improvement through Mechanistic Models.- 9. Quality Improvement of Products Depending on both Qualitative and Quantitative Factors.- 10. Other Methods for Model Based Quality Improvement.- Author Index.

'This book is interesting and provides a nice resource for understanding many of the issues confronting robust parameters design. Overall this book fills a valuable niche among quality improvement texts.' Technometrics, 44:2 (2002)