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Informationen zum Autor R. Mead is Emeritus Professor of Applied Statistics at the University of Reading. S. G. Gilmour is Professor of Statistics in the Southampton Statistical Sciences Research Institute at the University of Southampton. A. Mead is Senior Teaching Fellow in the School of Life Sciences at the University of Warwick. Klappentext Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines. Zusammenfassung This book focuses on the practical needs of applied statisticians and experimenters engaged in design! implementation and analysis in a variety of disciplines! including biological and physical sciences! engineering! medicine and agriculture. It contains numerous exercises and a wide range of examples drawn from real experiments. Inhaltsverzeichnis 1. Introduction; 2. Elementary ideas of blocking: the randomised complete block design; 3. Elementary ideas of treatment structure; 4. General principles of linear models for the analysis of experimental data; 5. Experimental units; 6. Replication; 7. Blocking and control; 8. Multiple blocking systems and crossover designs; 9. Multiple levels of information; 10. Randomisation; 11. Restricted randomisation; 12. Experimental objectives, treatments and treatment structures; 13. Factorial structure and particular forms of effects; 14. Fractional replication; 15. Incomplete block size for factorial experiments; 16. Quantitative factors and response functions; 17. Multifactorial designs for quantitative factors; 18. Split unit designs; 19. Multiple experiments and new variation; 20. Sequential aspects of experiments and experimental programmes; 21. Designing useful experiments.
