Semiparametric models and P-splines

dc.contributor.author	I., Currie,
dc.contributor.author	M., Durbán,
dc.date.accessioned	2006-11-09T09:20:05Z
dc.date.available	2006-11-09T09:20:05Z
dc.date.issued	2001-03
dc.identifier.uri	http://hdl.handle.net/10016/158
dc.description.abstract	P-splines were introduced by Eilers and Marx (1996). We consider semiparametric models where the smooth part of the model can be described by P-splines. A mixed model representation is also considered. We set a simple strategy for the choice of P-spline parameters, ndx, bdeg and pord, and discuss the use of various criteria for smoothing parameter selection. We illustrate our remarks with the analysis of a randomised block design.
dc.format.extent	206645 bytes
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.relation.ispartofseries	UC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries	2001-11
dc.title	Semiparametric models and P-splines
dc.type	workingPaper
dc.subject.eciencia	Estadística
dc.rights.accessRights	openAccess
dc.identifier.repec	ws011711
dc.affiliation.dpto	UC3M. Departamento de Estadística