Modeling and forecasting tourism demand
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Carey Goh; Rob Law
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Article
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2002
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Elsevier Science
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English
β 494 KB
This paper presents the use of time series SARIMA and MARIMA with interventions in forecasting tourism demand using ten arrival series for Hong Kong. Augmented Dickey-Fuller tests indicated that all the series were seasonal nonstationary. Significant interventions such as relaxation of the issuance