Generalized linear mixed models : modern concepts, methods and applications /

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"Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Stroup, Walter W. (Walter Whitney) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, Taylor & Francis Group, [2013]
Colección:Texts in statistical science.
Temas:
Linear models (Statistics)
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Part I: The Big Picture
  • 1. Modeling Basics
  • 2. Design Matters
  • 3. Setting the Stage
  • Part II: Estimation and Inference Essentials
  • 4. Estimation
  • 5. Inference, Part I: Model Effects
  • 6. Inference, Part II: Covariance Components
  • Part III: Working with GLMMs
  • 7. Treatment and Explanatory Variable Structure
  • 8. Multilevel Models
  • 9. Best Linear Unbiased Prediction
  • 10. Rates and Proportions
  • 11. Counts
  • 12. Time-to-Event Data
  • 13. Multinomial Data
  • 14. Correlated Errors, Part I: Repeated Measures
  • 15. Correlated Errors, Part II: Spatial Variability
  • 16. Power, Sample Size, and Planning.

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