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

• Main Author: Yee, Thomas W. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2015.
• Edition: 1st ed. 2015.
• Series: Springer Series in Statistics,
• Subjects: Statistics.; Computer software.; Probabilities.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Probability Theory and Stochastic Processes.; Mathematical Software.

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...

Table of Contents:

• 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.