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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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Journal of the American Statistical Association, 1991
Dirk F. Moore, Ronald Christensen
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Dirk F. Moore, Ronald Christensen
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A log‐linear multidimensional Rasch model for capture–recapture
Statistics in Medicine, 2016Elvira Pelle
exaly
Maximum likelihood estimation for the negative multinomial log-linear model
Communications in Statistics - Theory and Methods, 1989Douglas G Bonett
exaly
Towards an early software estimation using log-linear regression and a multilayer perceptron model
Journal of Systems and Software, 2013Ali Bou Nassif, Luiz Fernando Capretz
exaly

