Analysis of Variance and Covariance

Analysis of Variance and Covariance book cover

Analysis of Variance and Covariance

Author(s): C. Patrick Doncaster (Author)

  • Publisher: Cambridge University Press
  • Publication Date: August 30, 2007
  • Edition: 1st
  • Language: English
  • Print length: 304 pages
  • ISBN-10: 0521880076
  • ISBN-13: 9780521684477

Book Description

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.

Editorial Reviews

Review

“This is an authoritatively written book aimed at people who already have a good grasp of analysis of (co)variance using fixed factor an(c)ova, who are not afraid of algebraic notation and who wish to understand the background to the comprehensive range of study designs described which incorporate covariates and random factors.”
Peter Watson, Psychological Medicine

Book Description

A concise, systematic introduction to the principles of analysis of variance for post-graduates and professionals.

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