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. Skryť popis