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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 3: Three-Dimensional Tables
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Summary
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Chapter title
Three-Dimensional Tables
Chapter number 3
Book title
Log-Linear Models and Logistic Regression
Published by
Springer, New York, NY, January 1997
DOI 10.1007/0-387-22624-9_3
Book ISBNs
978-0-387-98247-2, 978-0-387-22624-8
View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%

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