Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.creatorBoente Boente, Graciela Lina-
dc.creatorGonzález Manteiga, Wenceslao-
dc.creatorRodriguez, Daniela Andrea-
dc.date2018-02-27T20:23:15Z-
dc.date2018-02-27T20:23:15Z-
dc.date2014-03-
dc.date2018-02-27T17:02:14Z-
dc.date.accessioned2019-04-29T15:42:57Z-
dc.date.available2019-04-29T15:42:57Z-
dc.date.issued2014-03-
dc.identifierBoente Boente, Graciela Lina; González Manteiga, Wenceslao; Rodriguez, Daniela Andrea; Goodness-of-fit test for directional data; Wiley Blackwell Publishing, Inc; Scandinavian Journal Of Statistics; 41; 1; 3-2014; 259-275-
dc.identifier0303-6898-
dc.identifierhttp://hdl.handle.net/11336/37348-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/300191-
dc.descriptionIn this paper, we study the problem of testing the hypothesis on whether the density f of a random variable on a sphere belongs to a given parametric class of densities. We propose two test statistics based on the L2 and L1 distances between a non-parametric density estimator adapted to circular data and a smoothed version of the specified density. The asymptotic distribution of the L2 test statistic is provided under the null hypothesis and contiguous alternatives. We also consider a bootstrap method to approximate the distribution of both test statistics. Through a simulation study, we explore the moderate sample performance of the proposed tests under the null hypothesis and under different alternatives. Finally, the procedure is illustrated by analysing a real data set based on wind direction measurements.-
dc.descriptionFil: Boente Boente, Graciela Lina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas ; Argentina-
dc.descriptionFil: González Manteiga, Wenceslao. Universidad de Santiago de Compostela; España-
dc.descriptionFil: Rodriguez, Daniela Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas ; Argentina-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherWiley Blackwell Publishing, Inc-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/sjos.12020/abstract-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/sjos.12020-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectASYMPTOTIC PROPERTIES-
dc.subjectBOOTSTRAP TESTS-
dc.subjectDENSITY ESTIMATION-
dc.subjectHYPOTHESIS TESTING-
dc.subjectMAXIMUM LIKELIHOOD ESTIMATORS-
dc.subjectSPHERICAL DATA-
dc.subjectVON MISES DISTRIBUTION-
dc.subjectMatemática Pura-
dc.subjectMatemáticas-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleGoodness-of-fit test for directional data-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
Aparece en las colecciones: CONICET

Ficheros en este ítem:
No hay ficheros asociados a este ítem.