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Log-Linear Modelling and Spatial Analysis
Environment and Planning A: Economy and Space, 1985In the past decade the social sciences have seen an upsurge of interest in analysing multidimensional contingency tables using log-linear models. Two broad families of log-linear models may be distinguished: the family of conventional models and the family of unconventional models (that is, quasi-log-linear and hybrid models).
E Aufhauser, M M Fischer
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2014
The classical log-linear models are introduced for two-way and multi-way contingency tables. Estimation theory, goodness-of-fit testing, and model selection procedures are discussed. Characteristic examples are worked out in R and interpreted. Log-linear models for three-dimensional tables are illustrated through mosaic plots.
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The classical log-linear models are introduced for two-way and multi-way contingency tables. Estimation theory, goodness-of-fit testing, and model selection procedures are discussed. Characteristic examples are worked out in R and interpreted. Log-linear models for three-dimensional tables are illustrated through mosaic plots.
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2004
In this chapter we study log-linear models which are useful for modeling multivariate discrete data. There is a strong connection between log-linear models and undirected graphs.
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In this chapter we study log-linear models which are useful for modeling multivariate discrete data. There is a strong connection between log-linear models and undirected graphs.
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Log-Linear Models for Linked Loci
Biometrics, 1984Noting the importance of measuring the pure effects of various disequilibrium parameters in a randomly mating population, the author suggests a class of log-linear models together with methods which enable one to choose the model which best fits the data.
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Contingency Tables and Log-Linear Models
1983This chapter is about the analysis of data in which the response and explanatory variables are all categorical, i.e. they are measured on nominal or possibly ordinal scales. Each scale may have more than two categories. Unlike the methods described in previous chapters, generalized linear models for categorical data can readily be defined when there is
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