Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/67142
Title: A new forecasting approach for the hospitality industry 
Author: Clavería González, Óscar
Monte Moreno, Enric
Torra Porras, Salvador
Keywords: Previsió econòmica
Turisme
Desenvolupament econòmic
Xarxes neuronals (Informàtica)
Sistemes MIMO
Economic forecasting
Tourism
Economic development
Neural networks (Computer science)
MIMO systems
Issue Date: 2015
Publisher: Emerald
Abstract: This 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.
Note: Versió postprint del document publicat a: http://dx.doi.org/10.1108/IJCHM-06-2014-0286
It is part of: International Journal of Contemporary Hospitality Management, 2015, vol. 27, num. 7, p. 1520-1538
Related resource: http://dx.doi.org/10.1108/IJCHM-06-2014-0286
URI: http://hdl.handle.net/2445/67142
ISSN: 0959-6119
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

Files in This Item:
File Description SizeFormat 
654660.pdf171.06 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.