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Analysis of variance and the Kruskal–Wallis test

  • Peter Dalgaard
Chapter
Part of the Statistics and Computing book series (SCO)

Abstract

In this section, we consider comparisons among more than two groups parametrically, using analysis of variance, as well as nonparametrically, using the Kruskal–Wallis test. Furthermore, we look at two-way analysis of variance in the case of one observation per cell.

Keywords

Friedman Test Data Frame Adjustment Method ANOVA Table Column Effect 
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.

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Bibliography

  1. Altman, D. G. (1991), Practical Statistics for Medical Research, Chapman & Hall, London.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.Department of BiostatisticsUniversity of CopenhagenCopenhagenDenmark

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