Experimental Design: With Application in Management, Engineering and the Sciences

1. Introduction to Experimental Design
Part I. Statistical Principles for Design of Experiments
2. One-Factor Designs and the Analysis of Variance
3. Some Further Issues in One-Factor Designs and ANOVA
4. Multiple-Comparison Testing
5. Orthogonally, Orthogonal Decomposition, and Their Role in Modern Experimental Design
Part II: Identifying Active Factors
6. Two-Factor Cross-Classification Designs
7. Nested, or Hierarchical, Designs
8. Designs with Three or More Factors: Latin-Square and Related Designs
Part III. Studying Factors’ Effects
9. Two-Level Factorial Designs
10. Confounding/Blocking in 2 k Designs
11. Two-Level Fractional-Factorial Designs
12. Designs with Factors at Three Levels
13. Introduction to Taguchi Methods
Part IV. Regression Analysis, Response Surface Designs, and Other Topics
14. Introduction to Simple Regression
15. Multiple Linear Regression
16. Introduction to Response-Surface Methodology
17. Introduction to Mixture Designs
18. Literature on Experimental Design and Discussion of Some Topics Not Covered in the Text