Multiple Comparison Techniques

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


In analyzing a linear model we can examine as many single degree of freedom hypotheses as we want. If we test all of these hypotheses at, say, the .05 level, then the experimentwise error rate (the probability of rejecting at least one of these hypotheses when all are true) will be greater than .05. Multiple comparison techniques are methods of performing the tests so that if all the hypotheses are true then the probability of rejecting any of the hypotheses is no greater than some specified value, i.e., the experimentwise error rate is controlled.


Little Significant Difference Honest Significant Difference Bonferroni Method Multiple Comparison Procedure Individual Hypothesis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media New York 1987

Authors and Affiliations

  • Ronald Christensen
    • 1
  1. 1.Department of Mathematical SciencesMontana State UniversityBozemanUSA

Personalised recommendations