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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.