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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
Publicado en:Tour Manag
Autor Principal: Chu, Fong-Lin
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier Ltd. 2008
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7115486/
https://ncbi.nlm.nih.gov/pubmed/32287722
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.tourman.2007.04.003
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