A Modern Theory of Factorial Designs
Rahul Mukerjee, C.F. Jeff Wu - Collection Springer Series In Statistics
Résumé
The last twenty years have witnessed a significant growth of interest in optimal factorial designs, under possible model uncertainty, via the minimum aberration and related criteria. This book gives, for the first time in book form, a comprehensive and up-to-date account of this modern theory. Many major classes of designs are covered in the book. While maintaining a high level of mathematical rigor, it also provides extensive design tables for research and practical purposes. Apart from being useful to researchers and practitioners, the book can form the core of a graduate level course in experimental design.
Written for: Graduate students, researchers
Sommaire
- Introduction and Overview
- Fundamentals of Factorial Designs
- Two-Level Fractional Factorial Designs
- Fractional Factorial Designs: General Case
- Designs with Maximum Estimation Capacity
- Minimum Aberration Designs for Mixed Factorials
- Block Designs for Symmetrical Factorials
- Fractional Factorial Split-Plot Designs
- Robust Parameter Design
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Springer |
| Auteur(s) | Rahul Mukerjee, C.F. Jeff Wu |
| Collection | Springer Series In Statistics |
| Parution | 31/07/2006 |
| Nb. de pages | 295 |
| Format | 16 x 24 |
| Couverture | Relié |
| Poids | 460g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780387319919 |
| ISBN13 | 978-0-387-31991-9 |
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