Provides unified and comprehensive overview of non-regular factorial designs. Focuses on theoretical underpinnings of non-regular factorial designs, emphasizes the ideas and methods of statistical designs, rather than mathematical rigor.
Provides unified and comprehensive overview of non-regular factorial designs. Focuses on theoretical underpinnings of non-regular factorial designs, emphasizes the ideas and methods of statistical designs, rather than mathematical rigor.
Ching-Shui Cheng is a Professor Emeritus at University of California, Berkeley. Boxin Tang is a Professor of Statistics at Simon Fraser University. Both have their main research interests in the area of experimental design. Professor Cheng is a Fellow of the Institute of Mathematical Statistics and a Fellow of the American Statistical Association. He is a former Chair-Editor for Statistica Sinica, and also served as an Associate Editor for the Annals of Statistics, Biometrika, Journal of Statistical Planning and Inference, Statistica Sinica, and Technometrics. Professor Tang is a Fellow of the Institute of Mathematical Statistics and a Fellow of the American Statistical Association. He has served on the editorial boards of the Annals of Statistics, Bernoulli Journal, Electronic Journal of Statistics, Journal of the Royal Statistical Society: Series B, Journal of Statistical Theory and Practice, and Statistica Sinica.
Inhaltsangabe
1. Introduction. 2. Basics of Factorial Designs. 3. J Characteristics and Projection Properties. 4. Generalized Resolution and Minimum G Aberration. 5. Minimum G2 Aberration. 6. Clear Effects, Requirement Sets, and SOS Designs. 7. Minimum G2 Aberration in Complex Settings. 8. Supersaturated Designs. 9. Other Nonregular Designs. 10. Multi Level Nonregular Designs. 11. Mixed Level Designs and Complicated Unit Structures. 12. Space Filling Designs.
