A new forecasting approach for the hospitality industry 

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dc.contributor.authorClavería González, Óscar
dc.contributor.authorMonte Moreno, Enric
dc.contributor.authorTorra Porras, Salvador
dc.date.accessioned2015-10-06T07:52:48Z
dc.date.available2015-10-06T07:52:48Z
dc.date.issued2015
dc.date.updated2015-10-06T07:52:48Z
dc.description.abstractThis study aims to apply a new forecasting approach to improve predictions in the hospitality industry. In order to do so we develop a multivariate setting that allows incorporating the cross-correlations in the evolution of tourist arrivals from visitor markets to a specific destination in Neural Network models.
dc.format.extent19 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec654660
dc.identifier.issn0959-6119
dc.identifier.urihttps://hdl.handle.net/2445/67142
dc.language.isoeng
dc.publisherEmerald
dc.relation.isformatofVersió postprint del document publicat a: http://dx.doi.org/10.1108/IJCHM-06-2014-0286
dc.relation.ispartofInternational Journal of Contemporary Hospitality Management, 2015, vol. 27, num. 7, p. 1520-1538
dc.relation.urihttp://dx.doi.org/10.1108/IJCHM-06-2014-0286
dc.rights(c) Emerald, 2015
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.sourceArticles publicats en revistes (Econometria, Estadística i Economia Aplicada)
dc.subject.classificationPrevisió econòmica
dc.subject.classificationTurisme
dc.subject.classificationDesenvolupament econòmic
dc.subject.classificationXarxes neuronals (Informàtica)
dc.subject.classificationSistemes MIMO
dc.subject.otherEconomic forecasting
dc.subject.otherTourism
dc.subject.otherEconomic development
dc.subject.otherNeural networks (Computer science)
dc.subject.otherMIMO systems
dc.titleA new forecasting approach for the hospitality industry 
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion

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