Nonparametric circular methods for density and regression

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dc.contributor.advisorCrujeiras Casais, Rosa María
dc.contributor.advisorRodríguez Casal, Alberto
dc.contributor.authorOliveira Pérez, María
dc.contributor.otherFacultade de Matemáticas. Departamento de Estatística e Investigación Operativa
dc.date.accessioned2014-02-04T09:20:50Z
dc.date.available2014-02-04T09:20:50Z
dc.date.issued2014-02-04
dc.description.abstractThe goal of this dissertation is to introduce nonparametric methods for density and regression estimation for circular data, analyzing their performance through simulation studies and illustrating their use by real data applications. In addition, the proposed methods are implemented in the R library NPCirc.gl
dc.identifier.urihttp://hdl.handle.net/10347/9805
dc.language.isoenggl
dc.rightsEsta obra atópase baixo unha licenza internacional Creative Commons BY-NC-ND 4.0. Calquera forma de reprodución, distribución, comunicación pública ou transformación desta obra non incluída na licenza Creative Commons BY-NC-ND 4.0 só pode ser realizada coa autorización expresa dos titulares, salvo excepción prevista pola lei. Pode acceder Vde. ao texto completo da licenza nesta ligazón: https://creativecommons.org/licenses/by-nc-nd/4.0/deed.gl
dc.rights.accessRightsopen accessgl
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.gl
dc.subjectcircular datagl
dc.subjectCircSiZergl
dc.subjectnonparametric estimationgl
dc.subjectmixturesgl
dc.subjectR packagegl
dc.subject.classificationMaterias::Investigación::12 Matemáticas::1209 Estadística::120905 Análisis y diseño de experimentosgl
dc.titleNonparametric circular methods for density and regressiongl
dc.typedoctoral thesisgl
dspace.entity.typePublication
relation.isAdvisorOfPublication72f92664-9a3d-4ef9-8d09-f35c21b9454e
relation.isAdvisorOfPublication91b08bcd-d203-4dad-993d-81bf0b92adda
relation.isAdvisorOfPublication.latestForDiscovery72f92664-9a3d-4ef9-8d09-f35c21b9454e

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