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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Eye, Alexander von
Otros Autores: Mun, Eun Young
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley, [2013]
Temas:
Log-linear models.
Modèles log-linéaires.
MATHEMATICS > Probability & Statistics > General.
MATHEMATICS > Probability & Statistics > Regression Analysis.
Log-linear models
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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