Results 271 to 280 of about 44,492 (301)
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Modelling the uncertainty in monthly international tourist arrivals to the Maldives

Tourism Management, 2007
Abstract 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
openaire   +1 more source

The relevance of business cycles in forecasting international tourist arrivals

Tourism Management, 1997
Abstract 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 ...
openaire   +1 more source

Down Trend Forecasting Method with ARFIMA: International Tourist Arrivals to Thailand [PDF]

open access: possibleAnnals of the University of Petrosani - Economics, 2009
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
openaire  

Forecast of International Tourist Arrivals Based on ARIMA Model

2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE), 2023
Ruiyi Zhang, Ruizhuo Zhao, Feiya Suo
openaire   +1 more source

The Convergence Dynamics of Per Capita International Tourist Arrivals

The International Trade Journal, 2023
James E. Payne   +2 more
openaire   +1 more source

An Investigation of the Time Series Behaviour of International Tourist Arrivals

Tourism Economics, 1997
Most 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.
openaire   +1 more source

Forecasting international tourist arrivals in South Korea: a deep learning approach

Journal of Hospitality and Tourism Technology
Purpose 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
openaire   +1 more source

Destination image and tourist behavioural intentions: A meta-analysis

Tourism Management, 2020
Mona Afshardoost   +1 more
exaly  

Modelling Uncertainty in International Tourist Arrivals to Maldives

2008
Riaz Shareef   +2 more
openaire   +1 more source

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