Design and Analysis of Experiments (2nd Ed., 2nd ed. 2017) Springer Texts in Statistics Series
Auteurs : Dean Angela, Voss Daniel, Draguljić Danel
This new, second edition includes
- an additional chapter on computer experiments
- additional "Using R? sections at the end of each chapter to illustrate R code and output
- updated output for all SAS programs and use of SAS Proc Mixed
- new material on screening experiments and analysis of mixed models
Principles and Techniques.- Planning Experiments.- Designs With One Source of Variation.- Inferences for Contrasts and Treatment Means.- Checking Model Assumptions.- Experiments With Two Crossed Treatment Factors.- Several Crossed Treatment Factors.- Polynomial Regression.- Analysis of Covariance.- Complete Block Designs.- Incomplete Block Designs.- Designs With Two Blocking Factors.- Confounded Two-Level Factorial Experiments.- Confounding in General Factorial Experiments.- Fractional Factorial Experiments.- Response Surface Methodology.- Random Effects and Variance Components.- Nested Models.- Split-Plot Designs
Date de parution : 04-2017
Ouvrage de 840 p.
17.8x25.4 cm