Models for the Interactions

Erling B. Andersen
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Erling B. Andersen: University of Copenhagen, Department of Statistics

Chapter 10 in The Statistical Analysis of Categorical Data, 1994, pp 320-361 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 1994
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-78817-8_10

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DOI: 10.1007/978-3-642-78817-8_10

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