Titlebook: Contingency Table Analysis; Methods and Implemen Maria Kateri Textbook 2014 Springer Science+Business Media New York 2014 2014 BUGS.Bayesia

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https://doi.org/10.1007/978-3-030-50838-8This epilogue chapter refers briefly to alternative methods and approaches in the analysis of contingency tables (latent class models, graphical models, and smoothing), not covered in the book. Furthermore, a bibliography on small sample inference, Bayesian inference, and the analysis of high-dimensional sparse contingency tables is discussed.

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Introduction,Preliminary material on scales, distributions, and inferential procedures for categorical data is briefly presented. Classes of models, usually applied for categorical data analysis, are introduced and discussed. Finally, the outline of the book is presented.

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Further Topics,This epilogue chapter refers briefly to alternative methods and approaches in the analysis of contingency tables (latent class models, graphical models, and smoothing), not covered in the book. Furthermore, a bibliography on small sample inference, Bayesian inference, and the analysis of high-dimensional sparse contingency tables is discussed.

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Generalized Linear Models and Extensions, fit, and model selection are discussed. In the GLM framework the analysis of incomplete tables is more straightforward. The quasi-independence model is defined and illustrated in .. Furthermore, the family of generalized log-linear models (GLLMs) is briefly presented and a GLLM is illustrated with a representative example in ..

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