Publication:
Circular Bernstein polynomial distributions

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorCarnicero, José Antonio
dc.contributor.authorWiper, Michael Peter
dc.contributor.authorAusín Olivera, María Concepción
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Estadísticaen
dc.date.accessioned2010-05-14T08:15:48Z
dc.date.available2010-05-14T08:15:48Z
dc.date.issued2010-05
dc.description.abstractThis paper introduces a new non-parametric approach to the modeling of circular data, based on the use of Bernstein polynomial densities which generalizes the standard Bernstein polynomial model to account for the specific characteristics of circular data. It is shown that the trigonometric moments of the proposed circular Bernstein polynomial distribution can all be derived in closed form. We comment on how to fit the Bernstein polynomial density approximation to a sample of data and illustrate our approach with a real data example.en
dc.format.mimetypeapplication/pdf
dc.identifier.repecws102511
dc.identifier.urihttp://hdl.handle.net/10016/8318
dc.language.isoengen
dc.relation.ispartofseriesUC3M Working papers. Statistics and Econometricsen
dc.relation.ispartofseries10-25en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaEstadísticaes
dc.subject.otherCircular dataen
dc.subject.otherNon-parametric modelingen
dc.subject.otherBernstein polynomialsen
dc.titleCircular Bernstein polynomial distributionsen
dc.typeworking paper*
dspace.entity.typePublication
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