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The development and introduction of new experimental designs in the last fifty years has been quite staggering, 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 by Oscar Kempthorne half a century ago and updates it with the latest developments in the field. Designed for advanced-level graduate students and industry professionals, this text includes coverage of incomplete block and…mehr
The development and introduction of new experimental designs in the last fifty years has been quite staggering, 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 by Oscar Kempthorne half a century ago and updates it with the latest developments in the field. Designed for advanced-level graduate students and industry professionals, this text includes coverage of incomplete block and row-column designs; symmetrical, asymmetrical, and fractional factorial designs; main effect plans and their construction; supersaturated designs; robust design, or Taguchi experiments; lattice designs; and cross-over designs.
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Autorenporträt
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.
Inhaltsangabe
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 2¯n Factorial Designs. 9. Partial Confounding In 2¯n Factorial Designs. 10. Designs with Factors at Three Levels. 11. The 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. Cross-Over Designs.
Appendix A. Fields and Galois Fields. Appendix B. Finite Geometries. Appendix C. Orthogonal and Balanced Arrays. Appendix D. Selected Asymmetrical Balanced Factorial Designs. References.
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 2¯n Factorial Designs. 9. Partial Confounding In 2¯n Factorial Designs. 10. Designs with Factors at Three Levels. 11. The 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. Cross-Over Designs.
Appendix A. Fields and Galois Fields. Appendix B. Finite Geometries. Appendix C. Orthogonal and Balanced Arrays. Appendix D. Selected Asymmetrical Balanced Factorial Designs. References.
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