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Log-linear models and logistic regression

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Cover of 'Log-linear models and logistic regression'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Two-Dimensional Tables and Simple Logistic Regression
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    Chapter 3 Three-Dimensional Tables
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    Chapter 4 Logistic Regression, Logit Models, and Logistic Discrimination
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    Chapter 5 Independence Relationships and Graphical Models
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    Chapter 6 Model Selection Methods and Model Evaluation
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    Chapter 7 Models for Factors with Quantitative Levels
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    Chapter 8 Fixed and Random Zeros
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    Chapter 9 Generalized Linear Models
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    Chapter 10 The Matrix Approach to Log-Linear Models
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    Chapter 11 The Matrix Approach to Logit Models
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    Chapter 12 Maximum Likelihood Theory for Log-Linear Models
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    Chapter 13 Bayesian Binomial Regression
Attention for Chapter 12: Maximum Likelihood Theory for Log-Linear Models
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