The Analysis of Variance

  • Jay L. Devore
  • Kenneth N. Berk
Part of the Springer Texts in Statistics book series (STS)


In studying methods for the analysis of quantitative data, we first focused on problems involving a single sample of numbers and then turned to a comparative analysis of two different samples. Now we are ready for the analysis of several samples.


  1. Miller, Rupert, Beyond ANOVA: The Basics of Applied Statistics, Wiley, New York, 1986. An excellent source of information about assumption checking and alternative methods of analysisGoogle Scholar
  2. Montgomery, Douglas, Design and Analysis of Experiments (7th ed.), Wiley, New York, 2009. An up-to-date presentation of ANOVA models and methodology.Google Scholar
  3. Kutner, Michael, Christopher Nachtsheim, John Neter, and William Li, Applied Linear Statistical Models (5th ed.), McGraw-Hill, New York, NY, 2005. The second half of this book contains a well-presented survey of ANOVA; the level is comparable to that of the present text, but the discussion is more comprehensive, making the book an excellent referenceGoogle Scholar
  4. Ott, R. Lyman, and Michael Longnecker, An Introduction to Statistical Methods and Data Analysis (6th ed.), Cengage, Belmont, CA, 2010. Includes several chapters on ANOVA methodology that can profitably be read by students desiring a nonmathematical exposition; there is a good chapter on various multiple comparison methodsGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Statistics DepartmentCalifornia Polytechnic State UniversitySan Luis ObispoUSA
  2. 2.Department of MathematicsIllinois State UniversityNormalUSA

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