Experiments

Planning, Analysis, and Optimization

C. F. Jeff Wu, Michael S. Hamada

• Publisher: Wiley
• Year: 2011
• Print ISBN: 9780471699460
• eBook ISBN: 9781118211533
• Edition: 2
• Topic: Mathematics
• Subtopic: Probability & Statistics
• Index: Mathematics

Praise for the First Edition:

"If you . . . want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library."
—Journal of the American Statistical Association

Fully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries—and sheds further light on existing ones—on the design and analysis of experiments and their applications in system optimization, robustness, and treatment comparison. Maintaining the same easy-to-follow style as the previous edition while also including modern updates, this book continues to present a new and integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences.

The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, reliability improvement, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. Along with a new chapter that focuses on regression analysis, the Second Edition features expanded and new coverage of additional topics, including:

• Expected mean squares and sample size determination

• One-way and two-way ANOVA with random effects

• Split-plot designs

• ANOVA treatment of factorial effects

• Response surface modeling for related factors

Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study.

Experiments, Second Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians.

Table of contents

• Cover
• Title Page
• Copyright
• Dedication
• Preface to the Second Edition
• Preface to the First Edition
• Suggestions of Topics for Instructors
• List of Experiments and Data Sets
• Chapter 1: Basic Concepts for Experimental Design and Introductory Regression Analysis
• Chapter 2: Experiments with a Single Factor
• Chapter 3: Experiments with More Than One Factor
• Chapter 4: Full Factorial Experiments at Two Levels
• Chapter 5: Fractional Factorial Experiments at Two Levels
• Chapter 6: Full Factorial and Fractional Factorial Experiments at Three Levels
• Chapter 7: Other Design and Analysis Techniques for Experiments at More Than Two Levels
• Chapter 8: Nonregular Designs: Construction and Properties
• Chapter 9: Experiments with Complex Aliasing
• Chapter 10: Response Surface Methodology
• Chapter 11: Introduction to Robust Parameter Design
• Chapter 12: Robust Parameter Design for Signal–Response Systems
• Chapter 13: Experiments for Improving Reliability
• Chapter 14: Analysis of Experiments with Nonnormal Data
• Appendix A Upper Tail Probabilities of the Standard Normal Distribution
• Appendix B Upper Percentiles of the t Distribution
• Appendix C Upper Percentiles of the χ2 Distribution
• Appendix D Upper Percentiles of the F Distribution
• Appendix E Upper Percentiles of the Studentized Range Distribution
• Appendix F Upper Percentiles of the Studentized Maximum Modulus Distribution
• Appendix G Coefficients of Orthogonal Contrast Vectors
• Appendix H Critical Values for Lenth’s Method
• Author Index
• Subject Index