A fractionally integrated autoregressive moving average approach to forecasting tourism demand

The primary aim of this paper is to incorporate fractionally integrated ARMA (p, d, q) (ARFIMA) models into tourism forecasting, and to compare the accuracy of forecasts with those obtained by previous studies. The models are estimated using the volume of monthly international tourist arrivals in Si...

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Detalles Bibliográficos
Autor principal: Chu, Fong-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2008
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115486/
https://www.ncbi.nlm.nih.gov/pubmed/32287722
http://dx.doi.org/10.1016/j.tourman.2007.04.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115486/
https://www.ncbi.nlm.nih.gov/pubmed/32287722
http://dx.doi.org/10.1016/j.tourman.2007.04.003

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