Vector Generalized Linear and Additive Models With an Implementation in R /

This book presents a statistical framework that expands generalized linear models (GLMs) for regression modelling. The framework shared in this book allows analyses based on many semi-traditional applied statistics models to be performed as a coherent whole. This is possible through the approximatel...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Yee, Thomas W. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Springer Series in Statistics,
Temas:
Statistics .
Mathematical statistics-Data processing.
Probabilities.
Computer software.
Statistical Theory and Methods.
Statistics and Computing.
Probability Theory.
Mathematical Software.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • LMs, GLMs and GAMs.-VGLMs
  • VGAMs
  • Reduced-Rank VGLMs
  • Constrained Quadratic Ordination
  • Constrained Additive Ordination
  • Using the VGAM Package
  • Other Topics
  • Some LM and GLM variants
  • Univariate Discrete Distributions
  • Univariate Continuous Distributions
  • Bivariate Continuous Distributions
  • Categorical Data Analysis
  • Quantile and Expectile Regression
  • Extremes
  • Zero-inated, Zero-altered and Positive Discrete Distributions
  • On VGAM Family Functions
  • Appendix: Background Material.

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