GAMLSS: A distributional regression approach. (June 2018)

• Record Type: Journal Article
• Authors: Stasinopoulos, Mikis D; Rigby, Robert A; Bastiani, Fernanda De
• Other Names: Groll Andreas guest-editor.; Kneib Thomas guest-editor.; Mayr Andreas guest-editor.
• Is Part Of: Statistical modelling. Volume 18:Number 3/4(2018)
• Page Start: 248
• Page End: 273
• Publication Date: 2018-06
• Subjects: beta negative binomial -- Box–Cox t -- Centile estimation -- head circumference -- kurtosis -- physician visits -- skewness; Linear models (Statistics) -- Periodicals; Mathematical models -- Periodicals; Modèles linéaires (Statistique) -- Périodiques; Modèles mathématiques -- Périodiques; Modèle statistique; Modèle linéaire; Modélisation statistique; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 519.5011
• DOI: 10.1177/1471082X18759144
• Languages: English
• ISSNs: 1471-082X

Abstract

Abstract: A tutorial of the generalized additive models for location, scale and shape (GAMLSS) is given here using two examples. GAMLSS is a general framework for performing regression analysis where not only the location (e.g., the mean) of the distribution but also the scale and shape of the distribution can be modelled by explanatory variables.