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Table of Contents
1. Introduction to experimental design
2. One-factor designs and the analysis of variance
3. Some further considerations on one-factor design and ANOVA
4. Multiple-comparison testing
5. Orthogonality, orthogonal decomposition, and their role in modern experimental design
6
Two-factor cross-classification designs
7. Nested, or hierarchical, designs
8. Designs with three or more factors: Latin-square and related designs
9. Two-level factorial designs
10. Confounding/blocking in 2k designs
11. Two-level fractional-factorial designs
12. Designs with factors at three levels
13. Introduction to Taguchi methods
14. Simple regression
15. Multiple and step-wise regression
16. Introduction to Response-Surface Methodology
17. Introduction to mixture design and triangular surfaces
18. Literature on experimental design and discussion.
2. One-factor designs and the analysis of variance
3. Some further considerations on one-factor design and ANOVA
4. Multiple-comparison testing
5. Orthogonality, orthogonal decomposition, and their role in modern experimental design
6
Two-factor cross-classification designs
7. Nested, or hierarchical, designs
8. Designs with three or more factors: Latin-square and related designs
9. Two-level factorial designs
10. Confounding/blocking in 2k designs
11. Two-level fractional-factorial designs
12. Designs with factors at three levels
13. Introduction to Taguchi methods
14. Simple regression
15. Multiple and step-wise regression
16. Introduction to Response-Surface Methodology
17. Introduction to mixture design and triangular surfaces
18. Literature on experimental design and discussion.