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Models for the Interactions

  • Erling B. Andersen

Abstract

If the statistical analysis of a contingency table is based on one of the log-linear models in chapters 5, 6 and 7, a number of natural models are easily overlooked. Many useful models can thus be expressed as structures in the log-linear interaction parameters. In this chapter a number of such models are discussed. Many of these models can be viewed as attempts to describe the non-zero interactions by a simple structure if the analysis of the data by a log linear model has failed to give a satisfactory fit to the model. If e.g. the independence hypothesis for a two-way table has been rejected, a residual analysis will often reveal a certain structure in the two-factor interactions.

Keywords

Markov Chain Change Point Social Rank Association Model Likelihood Equation 
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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Copyright information

© Springer-Verlag Berlin · Heidelberg 1994

Authors and Affiliations

  • Erling B. Andersen
    • 1
  1. 1.Department of StatisticsUniversity of CopenhagenCopenhagen KDenmark

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