The development and introduction of new experimental designs in the last fifty years has been quite staggering and was brought about largely by an ever-widening field of applications. "Design and Analysis of Experiments, Volume 2: Advanced Experimental Design" is the second of a two-volume body of work that builds upon the philosophical foundations of experimental design set forth half a century ago by Oscar Kempthorne, and features the latest developments in the field.
"Volume 1: An Introduction to Experimental Design" introduced students at the MS level to the principles of experimental design, including the groundbreaking work of R. A. Fisher and Frank Yates, and Kempthorne's work in randomization theory with the development of derived linear models. "Design and Analysis of Experiments, Volume 2" provides more detail about aspects of error control and treatment design, with emphasis on their historical development and practical significance, and the connections between them. Designed for advanced-level graduate students and industry professionals, this text includes coverage of:
- Incomplete block and row-column designs
- Symmetrical and asymmetrical factorial designs
- Systems of confounding
- Fractional factorial designs, including main effect plans
- Supersaturated designs
- Robust design or Taguchi experiments
- Lattice designs
- Crossover designs
In order to facilitate the application of text material to a broad range of fields, the authors take a general approach to their discussions. To aid in the construction and analysis of designs, many procedures are illustrated using Statistical Analysis System (SASr) software.
1. General Incomplete Block Design
2. Balanced Incomplete Block Designs
3. Construction of Balanced Incomplete Block Designs
4. Partially Balanced Incomplete Block Designs
5. Construction of Partially Balanced Incomplete Block Designs
6. More Block Designs and Blocking Structures
7. Two-Level Factorial Designs
8. Confounding in 2n Factorial Designs
9. Partial Confounding in 2n Factorial Designs
10. Designs with Factors at Three Levels
11. General Symmetrical Factorial Design
12. Confounding in Asymmetrical Factorial Designs
13. Fractional Factorial Designs
14. Main Effect Plans
15. Supersaturated Designs
16. Search Designs
17. Robust-Design Experiments
18. Lattice Designs
19. Crossover Designs
Appendix A: Fields and Galois Fields
Appendix B: Finite Geometries
Appendix C: Orthogonal and Balanced Arrays
Appendix D: Selected Asymmetrical Balanced Factorial Designs
Appendix E: Exercises
KLAUS HINKELMANN, PHD, is Emeritus Professor of Statistics at Virginia Polytechnic Institute and State University Department of Statistics, where he also served as both graduate administrator and department head. In addition to being a Fellow of both the American Statistical Association and the American Association for the Advancement of Science, Professor Hinkelmann is a member of the International Statistical Institute, and has served as a council member of the International Biometric Society. He was editor of Biometrics and the Current Index to Statistics.
OSCAR KEMPTHORNE, SCD, was Emeritus Professor of Statistics and Emeritus Distinguished Professor of Liberal Arts and Sciences at Iowa State University. He was a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science, as well as an Honorary Fellow of the Royal Statistical Society and a member of the International Statistical Institute. In addition, Dr. Kempthorne was a past president of the Eastern North American Region (ENAR) of the International Biometric Society, a former chairman of statistics within the American Association for the Advancement of Science, and a past president of the Institute of Mathematical Statistics.
...a massively impressive work of scholarship...
- Short Book Reviews, December 2006
"...a broad and in-depth book...covers not only classic but also up-to-date results and references, making it convenient for researchers. It is one of the very few advanced textbooks on experimental design..."
- Technometrics, November 2006
"I suspect this excellent book will be used most often by specialists in design...the book's importance is largely as a reference for experts...or as an independent learning tool..."
- Journal of the American Statistical Association, June 2006
"I would expect HK to attain essentially the same stature and appeal to virtually the same markets as the 1952 edition."
- Journal of Quality Technology, January 2006
"...the authors have done a commendable job in putting together the vast amount of literature that is available on the topics...of great value to students, and also to teachers and researchers."
- Mathematical Reviews, 2006b