Andrew J. H. Davey, C. Patrick Doncaster

Analysis of Variance and Covariance

• Broschiertes Buch

Produktbeschreibung

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. In this reference book, the gap between statistical theory and practical data analysis is bridged by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. This book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 304
• Erscheinungstermin: 29. Mai 2015
• Englisch
• Abmessung: 229mm x 152mm x 17mm
• Gewicht: 443g
• ISBN-13: 9780521684477
• ISBN-10: 0521684471
• Artikelnr.: 23028283

Autorenporträt

C. PATRICK DONCASTER is a Reader in Ecology in the School of Biological Sciences at the University of Southampton.

Inhaltsangabe

Preface
Introduction to analysis of variance
Introduction to model structures
Part I. Model Structures: 1. One-factor designs
2. Nested designs
3. Fully replicated factorial designs
4. Randomised block designs
5. Split plot designs
6. Repeated measures designs
7. Unreplicated designs
Part II. Further Topics: 8. Further topics
9. Choosing experimental designs
10. Best practice in presentation of the design
11. Troubleshooting problems during analysis
Glossary
Categories of model
Bibliography
Index of all ANOVA models with up to three factors
Index.