A renaissance for Anova ? Analysis of Variance — why it is more important than ever

@inproceedings{McCullagh2002ARF,
  title={A renaissance for Anova ? Analysis of Variance — why it is more important than ever},
  author={Andrew Gelman Peter McCullagh},
  year={2002}
}
  • Andrew Gelman Peter McCullagh
  • Published 2002
Analysis of variance (Anova) is an extremely important method in exploratory and confirmatory data analysis. Unfortunately, in complex problems (for example, splitplot designs), it is not always easy to set up an appropriate Anova. We propose a hierarchical analysis that automatically gives the correct Anova comparisons even in complex scenarios. The inferences for all means and variances are performed under a model with a separate batch of effects for each row of the Anova table. We connect to… CONTINUE READING

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