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Modelling the uncertainty in monthly international tourist arrivals to the Maldives
Tourism Management, 2007Abstract The Indian Ocean tsunami of 26 December 2004 made clear the devastating short term impact in lost lives, as well as the longer term impact in lost livelihoods and an uncertain future. Tourism was one of the more obvious non-human casualties of this tragic natural phenomenon.
Riaz Shareef, Michael McAleer
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The relevance of business cycles in forecasting international tourist arrivals
Tourism Management, 1997Abstract Casual empiricism suggests that there may be a cyclical trend associated with international tourist arrivals in which variation around the linear trend can be formed by the interaction with other cyclical phenomena. This paper employs a simple model that incorporates a linear trend and sine function to capture these two characteristics in ...
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Down Trend Forecasting Method with ARFIMA: International Tourist Arrivals to Thailand [PDF]
Forecasting is an essential analytical tool in tourism policy and planning. This paper focuses on forecasting methods based on ARFIMA(p,d,q) or fractionally integrated moving average(ARFIMA). The secondary data were used to produce forecasts of international tourist arrivals to Thailand for during period of 2009.
Prasert Chaitip, Chukiat Chaiboonsri
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Forecast of International Tourist Arrivals Based on ARIMA Model
2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE), 2023Ruiyi Zhang, Ruizhuo Zhao, Feiya Suo
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The Convergence Dynamics of Per Capita International Tourist Arrivals
The International Trade Journal, 2023James E. Payne +2 more
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An Investigation of the Time Series Behaviour of International Tourist Arrivals
Tourism Economics, 1997Most tourism econometric models are based on conventional least squares estimation, which assumes stationarity in their data generating mechanism. However, they fail to recognize the implications of the integrated properties of the historical time series of tourism data.
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Forecasting international tourist arrivals in South Korea: a deep learning approach
Journal of Hospitality and Tourism TechnologyPurpose This study aims to develop a robust long short-term memory (LSTM)-based forecasting model for daily international tourist arrivals at Incheon International Airport (ICN), incorporating multiple predictors including exchange rates, West Texas Intermediate (WTI) oil prices, Korea composite stock price index data and new COVID-19 cases.
Siyu Zhang, Ze Lin, Wii-Joo Yhang
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Destination image and tourist behavioural intentions: A meta-analysis
Tourism Management, 2020Mona Afshardoost +1 more
exaly
Modelling Uncertainty in International Tourist Arrivals to Maldives
2008Riaz Shareef +2 more
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