The Design of Experiments: Statistical Principles for Practical Application

Abstract

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.