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GAMLSS: a distributional regression approach

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Stasinopoulos, Dimitrios, Rigby, Robert A. and De Bastiani, Fernanda (2018) GAMLSS: a distributional regression approach. Statistical Modelling, 18 (3-4). pp. 248-273. ISSN 1477-0342

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.

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Title:
GAMLSS: a distributional regression approach
Creators:
Stasinopoulos, Dimitrios, Rigby, Robert A. and De Bastiani, Fernanda
Identification Number:
https://doi.org/10.1177/1471082X18759144
Official URL:
https://journals.sagepub.com/doi/abs/10.1177/14710...
Date:
29 March 2018
Subjects:
500 Natural Sciences and Mathematics > 510 Mathematics
Department:
School of Computing and Digital Media
Publisher:
SAGE Publications
Uncontrolled Keywords:
beta negative binomial, Box-Cox t, Centile estimation, head circumference, kurtosis, physician visits, skewness
Record
URI:
https://repository.londonmet.ac.uk/id/eprint/4821
Item Type:
Article
Depositing User:
Bal Virdee
Date Deposited:
09 May 2019 13:55
Revision:
16
Last Modified:
22 Jul 2021 08:11
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