TY - BOOK
T1 - Flexible regression and smoothing
T2 - using GAMLSS in R
AU - Stasinopoulos, D. Mikis
AU - Rigby, Robert
AU - Heller, Gillian
AU - Voudouris, Vlasios
AU - De Bastiani, Fernanda
PY - 2017
Y1 - 2017
N2 - 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. GAMLSS allows any parametric distribution for the response variable and modelling all the parameters (location, scale and shape) of the distribution as linear or smooth functions of explanatory variables. This book provides a broad overview of GAMLSS methodology and how it is implemented in R. It includes a comprehensive collection of real data examples, integrated code, and figures to illustrate the methods, and is supplemented by a website with code, data and additional materials.
AB - 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. GAMLSS allows any parametric distribution for the response variable and modelling all the parameters (location, scale and shape) of the distribution as linear or smooth functions of explanatory variables. This book provides a broad overview of GAMLSS methodology and how it is implemented in R. It includes a comprehensive collection of real data examples, integrated code, and figures to illustrate the methods, and is supplemented by a website with code, data and additional materials.
UR - http://www.scopus.com/inward/record.url?scp=85032717135&partnerID=8YFLogxK
U2 - 10.1201/b21973
DO - 10.1201/b21973
M3 - Book
SN - 9781138197909
T3 - Chapman and Hall/CRC the R Series
BT - Flexible regression and smoothing
PB - Chapman & Hall/CRC
CY - Boca Raton, Florida
ER -