GAMLSS

AcronymDefinition
GAMLSSGeneralized Additive Models for Location, Scale and Shape (UK)
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References in periodicals archive ?
The results from this routine are crosschecked with results from R (the gamlss package).
The boosting approach for functional data has already been extended towards the model class of generalized additive models for location, scale, and shape (GAMLSS) for a scalar-on-function setting by Brockhaus et al.
The algorithm is a version of the classical boosting algorithm as represented in Box 1, which is adapted to the special case of having to estimate a set of different subpredictors (similar to the GAMLSS framework [49]).
The smoothed percentile curves for the 10th, 25th, 50th, 75th, and 90th percentiles were created using the Gamlss package under R.3.0.1 software.
Instructions on how to use the GAMLSS package in R (Technical Report 01/06), London, UK, STORM Research Centre, London Metropolitan University.
The aims of the current study were; to present the updated reference data on height and weight for Turkish children and adolescents aged 6-17 years living in Kayseri, Turkey produced with generalized additive models for location, scale and shape (GAMLSS) and to compare these updated data with our previous study conducted three years earlier along with other recent references.
The aims of the current study were to present the updated reference data on height and weight for Turkish children and adolescents aged 6-17 years living in Kayseri, Turkey, to produce generalized additive models for location, scale and shape (GAMLSS) (16,17) and also to compare these updated data with our previous study conducted three years earlier as well as with other recent references (6,15).
Evans, 2013, A Scaling Model for Severity of Operational Losses Using Generalized Additive Models for Location Scale and Shape (GAMLSS), Annals of Actuarial Science, 7(1): 61-100.