GAMLSS: A distributional regression approach

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 ca...

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Bibliographic Details
Published inStatistical modelling Vol. 18; no. 3-4; pp. 248 - 273
Main Authors Stasinopoulos, Mikis D, Rigby, Robert A, Bastiani, Fernanda De
Format Journal Article
LanguageEnglish
Published New Delhi, India SAGE Publications 01.06.2018
Subjects
beta negative binomial
Centile estimation
skewness
head circumference
kurtosis
Box–Cox t
physician visits
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Summary: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.
ISSN:1471-082X
1477-0342
DOI:10.1177/1471082X18759144