Log-linear modeling : concepts, interpretation, and application /
"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...
Κύριος συγγραφέας: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Hoboken, New Jersey :
Wiley,
[2013]
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.