Log-linear modeling : concepts, interpretation, and application /

• Main Author: Eye, Alexander von
• Other Authors: Mun, Eun Young
• Format: eBook
• Language: English
• Published: Hoboken, New Jersey : Wiley, [2013]
• Subjects: Log-linear models.; MATHEMATICS > Probability & Statistics > General.; MATHEMATICS > Probability & Statistics > Regression Analysis.; Electronic books.

"Over the past ten years, there have been many important advances in log-linear modeling, including the specification of new models, in particular non-standard models, and their relationships to methods such as Rasch modeling. While most literature on the topic is contained in volumes aimed at...

Table of Contents:

• Basics of Hierarchical Log-Linear Models
• Effects in a Table
• Goodness-of-Fit
• Hierarchical Log-Linear Models and Odds Ratio Analysis
• Computations I: Basic Log-Linear Modeling
• The Design Matrix Approach
• Parameter Interpretation and Significance Tests
• Computations II: Design Matrices and Poisson GLM
• Nonhierarchical and Nonstandard Log-Linear Models
• Computations III: Nonstandard Models
• Sampling Schemes and Chi-Square Decomposition
• Symmetry Models
• Log-Linear Models of Rater Agreement
• Comparing Associations in Subtables: Homogeneity of Associations
• Logistic Regression and Other Logit Models
• Reduced Designs
• Computations IV: Additional Models.