Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences (Paperback)

C. Patrick Doncaster

ISBN 10: 0521684471 / ISBN 13: 9780521684477

Published by Cambridge University Press, Cambridge, 2007

About this Item

Paperback. Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The 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. Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780521684477

Bibliographic Details

• Title: Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences (Paperback)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2007
• Language: English
• ISBN 10: 0521684471
• ISBN 13: 9780521684477
• Binding: Paperback
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The 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.

About the Author

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