Flexible Regression and Smoothing: Using GAMLSS in R

by Fernanda De Bastiani, Gillian Heller, Robert Anthony Rigby, et al.

Book Overview

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent.

In particular, the GAMLSS statistical framework enables flexible regression and smoothing models to be fitted to the data. The GAMLSS model assumes that the...

• Format: Paperback
• Language: English
• ISBN: 0367658062
• ISBN13: 9780367658069
• Release Date: September 2020
• Publisher: CRC Press
• Length: 572 Pages
• Weight: 2.17 lbs.
• Dimensions: 1.2" x 7.0" x 10.0"