The Design of Experiments: Statistical Principles for Practical Applications Book

Preface;

Part I. Overture:

1. Introduction;
2. Elementary ideas of blocking: the randomised block design;
3. Elementary ideas of treatment structure;
4. General principles of linear models for the analysis of experimental data;
5. Computers for analysing experimental data;

Part II. First Subject:
6. Replication;
7. Blocking;
8. Multiple blocking systems and cross-over designs;
9. Randomisation;
10. Covariance - extension of linear models;
11. Model assumptions and more general models;

Part III. Second Subject:
12. Experimental objectives, treatments and treatment structures;
13. Factorial structure and particular forms of effects;
14. Split unit designs and repeated measurements;
15. Incomplete bloxk size for factorial experiments;
16. Some mathematical theory for comfounding and fractional replication;
17. Quantitative factors and response functions;
18. Response surface exploration;

Part IV. Coda:
19. Designing useful experiments; References; Index.