R. Mead (University of Reading), S. G. Gilmour (University of Southampton), A. Mead (University of Warwick)

Statistical Principles for the Design of Experiments

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Cambridge Series in Statistical and Probabilistic Mathematics
• Verlag: Cambridge University Press
• Seitenzahl: 588
• Erscheinungstermin: 13. September 2012
• Englisch
• Abmessung: 260mm x 183mm x 36mm
• Gewicht: 1324g
• ISBN-13: 9780521862141
• ISBN-10: 0521862140
• Artikelnr.: 35406771

Autorenporträt

R. Mead is Emeritus Professor of Applied Statistics at the University of Reading.

Inhaltsangabe

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.