5. Design and Analysis of Experiments¶
- 5.1. Design and analysis of experiments in context
- 5.2. Terminology
- 5.3. Usage examples
- 5.4. References and readings
- 5.5. Why learning about systems is important
- 5.6. Experiments with a single variable at two levels
- 5.7. Changing one single variable at a time (COST)
- 5.8. Full factorial designs
- 5.8.1. Using two levels for two or more factors
- 5.8.2. Analysis of a factorial design: main effects
- 5.8.3. Analysis of a factorial design: interaction effects
- 5.8.4. Analysis by least squares modelling
- 5.8.5. Example: design and analysis of a three-factor experiment
- 5.8.6. Assessing significance of main effects and interactions
- 5.8.7. Summary so far
- 5.8.8. Example: analysis of systems with 4 factors
- 5.9. Fractional factorial designs
- 5.9.1. Half fractions
- 5.9.2. Generators and defining relationships
- 5.9.3. Generating the complementary half-fraction
- 5.9.4. Generators: to determine confounding due to blocking
- 5.9.5. Highly fractionated designs: beyond half-fractions
- 5.9.6. Design resolution
- 5.9.7. Saturated designs for screening
- 5.9.8. Design foldover
- 5.9.9. Projectivity
- 5.10. Blocking and confounding for disturbances
- 5.11. Response surface methods
- 5.12. Evolutionary operation
- 5.13. General approach for experimentation
- 5.14. Extended topics related to designed experiments
- 5.15. Exercises