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Log-Linear Models
Overview of attention for book
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
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Chapter 3
Three-Dimensional Tables
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Chapter 4
Higher Dimensional Tables
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Chapter 5
Models for Factors with Quantitative Levels
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Chapter 6
The Matrix Approach to Log-Linear Models
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Chapter 7
Response Factors and Logistic Discrimination
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Chapter 8
The Matrix Approach to Logit Models
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Chapter 9
Fixed and Random Zeros
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Chapter 10
Generalized Linear Models
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Chapter 11
Maximum Likelihood Theory for Log-Linear Models
Overall attention for this book and its chapters
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Mentioned by
syllabi
9
institutions with syllabi
Readers on
mendeley
13
Mendeley
Book overview
1. Introduction
2. Two-Dimensional Tables
3. Three-Dimensional Tables
4. Higher Dimensional Tables
5. Models for Factors with Quantitative Levels
6. The Matrix Approach to Log-Linear Models
7. Response Factors and Logistic Discrimination
8. The Matrix Approach to Logit Models
9. Fixed and Random Zeros
10. Generalized Linear Models
11. Maximum Likelihood Theory for Log-Linear Models
Summary
Syllabi
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
13
syllabi from
9
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of Iowa
2
Unknown
University of Sheffield
2
Unknown
University of Houston
2
Unknown
University of Wisconsin-Madison
1
Sociology
Carnegie Mellon University
1
Unknown
Australian National University
1
Unknown
University of Rajshahi
1
English
University of Georgia
1
Business
Unknown
2
Engineering