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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Yee, Thomas W. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2015.
Έκδοση:1st ed. 2015.
Σειρά:Springer Series in Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.