Multiple linear regression models for random intervals: a set arithmetic approach

dc.contributor.author	García Barzana, Marta
dc.contributor.author	Ramos Guajardo, Ana Belén
dc.contributor.author	Colubi, A.
dc.contributor.author	Kontoghiorghes, E. J.
dc.date.accessioned	2019-11-14T10:22:06Z
dc.date.available	2019-11-14T10:22:06Z
dc.date.issued	2019
dc.identifier.citation	Computational Statistics (2019); doi:10.1007/s00180-019-00910-1
dc.identifier.issn	0943-4062
dc.identifier.uri	http://hdl.handle.net/10651/53200
dc.description.sponsorship	The research in this paper has been partially supported by the Spanish Government through MINECO-18-MTM2017-89632-P Grant and by the COST Action 1408. Their financial support is greatfully acknowledged.
dc.language.iso	eng
dc.relation.ispartof	Computational Statistics
dc.rights	© Springer-Verlag GmbH Germany, part of Springer Nature 2019
dc.source	Scopus
dc.source.uri	https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85068228526&doi=10.1007%2fs00180-019-00910-1&partnerID=40&md5=c55da2d68d14d9fffa0ffc2a05d24ae1
dc.title	Multiple linear regression models for random intervals: a set arithmetic approach
dc.type	journal article
dc.identifier.doi	10.1007/s00180-019-00910-1
dc.relation.projectID	MINECO/18-MTM2017-89632-P
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00180-019-00910-1

Ficheros en el ítem

Ficheros	Tamaño	Formato	Ver
No hay ficheros asociados a este ítem.