Mehr lesen
Informationen zum Autor R. A. Bailey has been Professor of Statistics at Queen Mary, University of London since 1994. She is a fellow of the Institute of Mathematical Statistics and a past president of the International Biometric Society, British Region. This book reflects her extensive experience teaching design of experiments and advising on its application. Her book Association Schemes was published by Cambridge University Press in 2004. Klappentext The coherent framework behind good practice; for working statisticians! advanced undergraduates! beginning graduate students. Zusammenfassung For every practising statistician who designs experiments! a coherent framework for the thinking behind good design. Also ideal for advanced undergraduate and beginning graduate courses. Examples! exercises and discussion questions are drawn from a wide range of real applications: from drug development! to agriculture! to manufacturing. Inhaltsverzeichnis Preface; 1. Forward look; 2. Unstructured experiments; 3. Simple treatment structure; 4. Blocking; 5. Factorial treatment structure; 6. Row-column designs; 7. Experiments on people and animals; 8. Small units inside large units; 9. More about Latin squares; 10. The calculus of factors; 11. Incomplete-block designs; 12. Factorial designs in incomplete blocks; 13. Fractional factorial designs; 14. Backward look; Exercises; Sources of examples, Questions and exercises; Further reading; Bibliography; Index.
