Introduction to the design and analysis of experiments

[ch]. 1. Collecting data by experiments

[ch]. 2. Basic statistical methods: the normal distribution

[ch]. 3. Principles of experimental design

[ch]. 4. Analysis of data from orthogonal designs

[ch]. 5. Factorial experiments

[ch]. 6. Experiments with many factors: confounding and fractional replication

[ch]. 7.

Confounding main effects: split-plot designs

[ch]. 8. Industrial experimentation

[ch]. 9. Response surfaces and mixture designs

[ch]. 10. Analysis of covariance

[ch]. 11. Balanced incomplete blocks and general non-orthogonal block designs

[ch]. 12. More advanced designs

[ch]. 13. Random effects models: variance components and sampling schemes

[ch]. 14. Computer output using SAS.