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M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data

dc.contributor.authorSinova Fernández, Beatriz 
dc.contributor.authorVan Aelst, S.
dc.contributor.authorTerán Agraz, Pedro Nicolás 
dc.date.accessioned2020-09-24T07:44:29Z
dc.date.available2020-09-24T07:44:29Z
dc.date.issued2020
dc.identifier.citationAdvances in Data Analysis and Classification, 15, p. 267–288 (2020); doi:10.1007/s11634-020-00402-x
dc.identifier.issn1862-5347
dc.identifier.urihttp://hdl.handle.net/10651/56808
dc.description.sponsorshipThe research of Beatriz Sinova and Pedro Terán was partially supported by the Spanish Ministry of Economy and Competitiveness under Grant MTM2015-63971-P; and the Principality of Asturias/FEDER Funds under Grants GRUPIN14-101 and GRUPIN-IDI2018-000132. The research of Stefan Van Aelst was supported by Internal Funds KU Leuven (Belgium) under Grant C16/15/068. Their support is gratefully acknowledged.
dc.language.isoeng
dc.relation.ispartofAdvances in Data Analysis and Classification
dc.rights© 2020, Springer-Verlag GmbH Germany, part of Springer Nature
dc.rightsEsta es una versión posterior a la revisión por pares y la edición previa a la copia de un artículo publicado en Advances in Data Analysis and Classification. La versión final autenticada está disponible en línea en: http://dx.doi.org/10.1007/s11634-020-00402-x
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85086403805&doi=10.1007%2fs11634-020-00402-x&partnerID=40&md5=27e2e563655236090c17be6f5ad5d728
dc.titleM-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data
dc.typejournal article
dc.identifier.doi10.1007/s11634-020-00402-x
dc.relation.projectIDMINECO/MTM2015-63971-P
dc.relation.projectIDFEDER/GRUPIN14-101
dc.relation.projectIDFEDER/GRUPIN-IDI2018-000132
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s11634-020-00402-x
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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