This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in prac

Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that

An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology via a selection of care

The statistical and mathematical principles of smoothing with a focus on applicable techniques are presented in this book. It naturally splits into two parts: T

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models