Multiple Comparison Techniques

Part of the Springer Texts in Statistics book series (STS)


This chapter introduces the multiple testing methods most commonly used with linear models.


  1. Bretz, F., Hothorn, T., & Westfall, P. (2011). Multiple comparisons using R. Boca Raton: Chapman and Hall/CRC.zbMATHGoogle Scholar
  2. Christensen, R. (1996). Analysis of variance, design, and regression: Applied statistical methods. London: Chapman and Hall.zbMATHGoogle Scholar
  3. Christensen, R. (2015). Analysis of variance, design, and regression: Linear modeling for unbalanced data (2nd ed.). Boca Raton: Chapman and Hall/CRC Press.Google Scholar
  4. Fisher, R. A. (1935). The design of experiments, (9th ed., 1971). New York: Hafner Press.Google Scholar
  5. Hochberg, Y., & Tamhane, A. (1987). Multiple comparison procedures. New York: Wiley.CrossRefGoogle Scholar
  6. Hsu, J. C. (1996). Multiple comparisons: Theory and methods. London: Chapman and Hall.CrossRefGoogle Scholar
  7. Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2005). Applied linear statistical models (5th ed.). New York: McGraw-Hill Irwin.Google Scholar
  8. Miller, R. G, Jr. (1981). Simultaneous statistical inference (2nd ed.). New York: Springer.CrossRefGoogle Scholar
  9. Scheffé, H. (1959). The analysis of variance. New York: Wiley.zbMATHGoogle Scholar
  10. Snedecor, G. W., & Cochran, W. G. (1980). Statistical methods (7th ed.). Ames: Iowa State University Press.zbMATHGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsUniversity of New MexicoAlbuquerqueUSA

Personalised recommendations