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The Association Graph and the Multigraph for Loglinear Models
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The Association Graph and the Multigraph for Loglinear Models

Volume: 167
January 2011 | 136 pages | SAGE Publications, Inc
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This practical guide teaches nonstatisticians how to analyze and interpret loglinear models using the multigraph

The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

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About the Author
 
Series Editor's Introduction
 
Chapter 1. Introduction
 
Chapter 2. Structures of Association
 
Chapter 3. Loglinear Model Review
 
Chapter 4. Association Graphs for Loglinear Models
 
Chapter 5. Collapsibility Conditions and the Association Graph
 
Chapter 6. The Generator Multigraph
 
Chapter 7. Fundamental Conditional Independencies for Nondecomposable Loglinear Models
 
Chapter 8. Conclusions and Additional Examples
 
Data Sets
 
References
 
Author Index
 
Subject Index
Key features

Key Features

  • Numerous engaging real-data examples, many of which come from the author's own consulting experience, provide the reader with extensive practice of the techniques presented.
  • The author introduces the multigraph, a new, powerful graphical technique that enables the student to analyze certain aspects of the loglinear model more easily than with the association graph.
  • Multiple mathematical graphs help students comprehend this visual-intensive subject area

 

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