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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2015.
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Έκδοση: | 1st ed. 2015. |
Σειρά: | Springer Series in Statistics,
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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.