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Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/67142
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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.identifier.issn0959-6119-
dc.identifier.urihttp://hdl.handle.net/2445/67142-
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.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.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-
dc.identifier.idgrec654660-
dc.date.updated2015-10-06T07:52:48Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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