Local Distance-Based Generalized Linear Models using the dbstats package for R

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dc.contributor.author	Boj del Val, Eva
dc.contributor.author	Delicado, Pedro
dc.contributor.author	Fortiana Gregori, Josep
dc.contributor.author	Esteve, Anna
dc.contributor.author	Caballé Mestres, Adrià
dc.contributor.author	Xarxa de Referència en Economia Aplicada (XREAP)
dc.date	2012
dc.identifier	https://ddd.uab.cat/record/98305
dc.identifier	urn:oai:ddd.uab.cat:98305
dc.format	application/pdf
dc.language	eng
dc.publisher	Xarxa de Referència en Economia Aplicada (XREAP)
dc.relation	Xarxa de Referència en Economia Aplicada (XREAP). Documents de treball de la Xarxa de Referència en Economia Aplicada (XREAP) ;
dc.rights	open access
dc.rights	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
dc.rights	https://creativecommons.org/licenses/by/3.0/
dc.subject	Models lineals (Estadística)
dc.subject	Linear models (Statistics)
dc.subject	Distance-based prediction
dc.subject	Generalized Linear Model
dc.subject	Local Likelihood
dc.subject	Iteratively Weighted Least Squares
dc.subject	R
dc.title	Local Distance-Based Generalized Linear Models using the dbstats package for R
dc.type	Working paper
dc.description.abstract	This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models firstly with the generalized linear model concept, then by localizing. Distances between individuals are the only predictor information needed to fit these models. Therefore they are applicable to mixed (qualitative and quantitative) explanatory variables or when the regressor is of functional type. Models can be fitted and analysed with the R package dbstats, which implements several distancebased prediction methods.

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