This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linea

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp

This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising

Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and c

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