A New Method for Ordering Functional Data and its Application to Diagnostic Test

UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleInternational Workshop on Functional and Operatorial Statistics (IWFOS) (5ª.2020.Brno, Czech Republic)es_ES
UDC.departamentoMatemáticases_ES
UDC.endPage76es_ES
UDC.grupoInvModelización, Optimización e Inferencia Estatística (MODES)es_ES
UDC.startPage69es_ES
dc.contributor.authorEstévez-Pérez, G.
dc.contributor.authorVieu, Philippe
dc.date.accessioned2024-11-12T15:08:12Z
dc.date.available2024-11-12T15:08:12Z
dc.date.issued2020
dc.descriptionContribution presented at the Fifth International Workshop on Functional and Operatorial Statistics (IWFOS) in Brno, Czech Republic (2020).es_ES
dc.descriptionThis is an accepted version of the published document. This version of the document has been accepted for publication, after peer review (when applicable, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-47756-1_10.es_ES
dc.description.abstract[Abstract] This contribution proposes a new ordering method for functional data which could be a starting point for developing new advances in problems for which the ordering of curves is of interest. This method is used to construct a diagnostic test, based on the functional version of ROC curves, for situations when the observed biomarker is a functional variable.es_ES
dc.description.sponsorshipThis research/work has been supported by MINECO grant MTM2017-82724-R, and by the Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2016-015 and Centro Singular de Investigación de Galicia ED431G/01), all of them through the ERDFes_ES
dc.description.sponsorshipXunta de Galicia; ED431C-2016-015es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.description.urihttps://doi.org/10.1007/978-3-030-47756-1
dc.identifier.citationEstévez-Pérez, G., Vieu, P. (2020). A New Method for Ordering Functional Data and its Application to Diagnostic Test. In: Aneiros, G., Horová, I., Hušková, M., Vieu, P. (eds) Functional and High-Dimensional Statistics and Related Fields. IWFOS 2020. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-47756-1_10es_ES
dc.identifier.doi10.1007/978-3-030-47756-1_10
dc.identifier.isbn978-3-030-47756-1
dc.identifier.urihttp://hdl.handle.net/2183/40086
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/MTM2017-82724-R/ES/INFERENCIA ESTADISTICA FLEXIBLE PARA DATOS COMPLEJOS DE GRAN VOLUMEN Y DE ALTA DIMENSION/es_ES
dc.relation.urihttps://doi.org/10.1007/978-3-030-47756-1_10es_ES
dc.rights© 2020, Springer Nature Switzerland AG. Subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-science/policies/accepted-manuscript-terms)es_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectFunctional data analysises_ES
dc.subjectApplied functional data analysises_ES
dc.titleA New Method for Ordering Functional Data and its Application to Diagnostic Testes_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication6542ab1a-3551-4940-91a4-e775a166a241
relation.isAuthorOfPublication.latestForDiscovery6542ab1a-3551-4940-91a4-e775a166a241

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