Matches in DBpedia 2016-04 for { ?s ?p "In statistics, the Generalized Additive Model for Location, Scale and Shape (GAMLSS) is a class of statistical model developed by Rigby and Stasinopoulos. These models provide extended capabilities beyond the simpler generalized linear models and generalized additive models. These simpler models allow the typical values of a quantity being modelled to be related to whatever explanatory variables are available. Here the \"typical value\" is more formally a location parameter, which only describes a limited aspect of the probability distribution of the dependent variable. The GAMLSS approach allows other parameters of the distribution to be related to the explanatory variables; where these other parameters might be interpreted as scale and shape parameters of the distribution, although the approach is not limited to such parameters."@en }
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- Generalized_additive_model_for_location,_scale_and_shape abstract "In statistics, the Generalized Additive Model for Location, Scale and Shape (GAMLSS) is a class of statistical model developed by Rigby and Stasinopoulos. These models provide extended capabilities beyond the simpler generalized linear models and generalized additive models. These simpler models allow the typical values of a quantity being modelled to be related to whatever explanatory variables are available. Here the \"typical value\" is more formally a location parameter, which only describes a limited aspect of the probability distribution of the dependent variable. The GAMLSS approach allows other parameters of the distribution to be related to the explanatory variables; where these other parameters might be interpreted as scale and shape parameters of the distribution, although the approach is not limited to such parameters.".