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Analyzing Categorical Data
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
Gaussian-Based Data Analysis
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Chapter 3
Gaussian-Based Model Building
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Chapter 4
Categorical Data and Goodness-of-Fit
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Chapter 5
Regression Models for Count Data
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Chapter 6
Analyzing Two-Way Tables
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Chapter 7
Tables with More Structure
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Chapter 8
Multidimensional Contingency Tables
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Chapter 9
Regression Models for Binary Data
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Chapter 10
Regression Models for Multiple Category Response Data
Overall attention for this book and its chapters
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Mentioned by
syllabi
3
institutions with syllabi
Citations
dimensions_citation
141
Dimensions
Readers on
mendeley
83
Mendeley
Book overview
1. Introduction
2. Gaussian-Based Data Analysis
3. Gaussian-Based Model Building
4. Categorical Data and Goodness-of-Fit
5. Regression Models for Count Data
6. Analyzing Two-Way Tables
7. Tables with More Structure
8. Multidimensional Contingency Tables
9. Regression Models for Binary Data
10. Regression Models for Multiple Category Response Data
Summary
Syllabi
Dimensions citations
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
4
syllabi from
3
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of Wisconsin-Madison
1
Sociology
Ruprecht-Karls-Universität Heidelberg
1
Biology, Education
Unknown
2
Business, Agriculture, Biology, History