A new model for visualizing interactions in analysis of variance

Patrick Groenen () and A.J. Koning
Additional contact information
A.J. Koning: Erasmus Econometric Institute

No EI 2004-06 Revision_Date: 2009-07-29, Econometric Institute Report from Erasmus University Rotterdam, Econometric Institute

Abstract: In analysis of variance, there is usually little attention for interpreting the terms of the effects themselves, especially for interaction effects. One of the reasons is that the number of interaction-effect terms increases rapidly with the number of predictor variables and the number of categories. In this paper, we propose a new model, called the interaction decomposition model, that allows to visualize the interactions. We argue that with the help of the visualization, the interaction-effect terms are much easier to interpret. We apply our method to predict holiday spending1 using seven categorical predictor variables.

Date: 2004-03-10
View citations in EconPapers

Downloads: (external link)
http://hdl.handle.net/1765/1189 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:dgr:eureir:1765001189

Access Statistics for this paper

More papers in Econometric Institute Report from Erasmus University Rotterdam, Econometric Institute
Series data maintained by Anneke Kop ().