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• W1972790519 startingPage "318" @default.
• W1972790519 abstract "A method for automatic selection of the smoothing parameters in a generalised additive model for location, scale and shape (GAMLSS) model is introduced. The method uses a P-spline representation of the smoothing terms to express them as random effect terms with an internal (or local) maximum likelihood estimation on the predictor scale of each distribution parameter to estimate its smoothing parameters. This provides a fast method for estimating multiple smoothing parameters. The method is applied to centile estimation where all four parameters of a distribution for the response variable are modelled as smooth functions of a transformed explanatory variable x. This allows smooth modelling of the location, scale, skewness and kurtosis parameters of the response variable distribution as functions of x." @default.
• W1972790519 created "2016-06-24" @default.
• W1972790519 creator A5021878317 @default.
• W1972790519 creator A5053434321 @default.
• W1972790519 date "2013-02-01" @default.
• W1972790519 modified "2023-10-14" @default.
• W1972790519 title "Automatic smoothing parameter selection in GAMLSS with an application to centile estimation" @default.
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• W1972790519 doi "https://doi.org/10.1177/0962280212473302" @default.
• W1972790519 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23376962" @default.
• W1972790519 hasPublicationYear "2013" @default.
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