Results 251 to 260 of about 7,073 (296)
Abstract Various exponential smoothing models are estimated over the period 1975–1999 to forecast quarterly tourist arrivals to Australia from Hong Kong, Malaysia, and Singapore. The root mean squared error criterion is used as a measure of forecast accuracy.
Lim, Christine, McAleer, Michael
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The impact of crime on tourist arrivals in Jamaica
International Journal of Tourism Research, 2003AbstractThis paper examines the relationship between tourist arrivals and changes in the crime rate in Jamaica over the period 1962–1999. In particular, it uses a transfer function to account for variations in total arrivals and arrivals from the European market, owing to changes in the crime rate.
Ian Boxill
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Hybrid Approach for Forecasting Tourist Arrivals
Proceedings of the 2019 8th International Conference on Software and Computer Applications, 2019For the tourism industry, accurate forecasts of travel needs are essential to meeting relevant needs, providing pertinent information to the government, and enabling stakeholders to adjust plans and policies. This study devised an approach that combines feature selection and support vector regression with particle swarm optimization (FS-PSOSVR) to ...
Mei-Li Shen +4 more
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International Tourist Arrival in India
Foreign Trade Review, 2017India experienced terror attack on its financial and entertainment capital Mumbai on 26 November 2008. There were 12 coordinated shooting and bombing attacks which lasted four days, killing 164 and injuring several hundred (Press Information Bureau, 2008, HM announces measured to enhance security, New Delhi: Ministry of Home Affairs, GOI.).
Sangeetha Gunasekar +2 more
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Analysis of Tourist Arrival in Nepal
Cognition, 2019The present paper is prepared based on review of literature and secondary data with an objective to analyze the trend of tourist arrivals in Nepal in last eighteen years. Attempt has been made to capture different aspects of tourist arrivals in Nepal. Rate of tourist arrival in Nepal has been found increasing since 2016 with decreasing rate of average ...
Laxmi Kanta Sharma, Ambika Ghimire
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Big Data as Input for Predicting Tourist Arrivals
2017International tourist arrivals increased by over 4,000% during the last 60 years, and as a labour-intensive business, tourism destinations and suppliers strongly depend on precise predictions of tourism demand. This study compares an autoregressive approach to predict tourism demand which is using past arrivals as input with an approach which predicts ...
Wolfram Höpken +4 more
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Forecasting tourist arrivals in Barbados
Annals of Tourism Research, 1995Abstract Importance of forecasting in tourism is not a controversial issue. Recently, there has been increased attention on forecasting models in tourism. The value of a forecasting model depends on the accuracy of out-of-sample forecasts. At present, there is no indication as to which model or class of models is suitable for forecasting tourism ...
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The cyclic behaviour of tourist flows: Tourist arrivals in Mexico
The Tourist Review, 1986It is widely known, for most tourist destinations, that tourist arrivals tend to be seasonal — there tends to be a tourist season, or high season and low season. However, it is important to grasp whether or not the fluctuating pattern of arrivals manifests itself with regularity: is it a case of random fluctuation or cyclical behaviour?
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Determinants of Tourist Arrivals and Expenditures in Canada
Journal of Travel Research, 1995This study investigated the determinants and functional forms of international tourism demand for travel to Canada from the United States, the United Kingdom, France, theformer West Germany, and Japan. The independent variables, per capita income, exchange rate, travel price index, immigration, crime rate, special events, and a time trend, were ...
null Hanquin Qiu, null Junsen Zhang
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2015
The main objective of this study is to evaluate some alternatives to estimate tourism arrivals under the presence of structural changes in the sample size. Several specification of Self-exciting threshold autoregressive (SETAR) model and Smooth transition autoregressive (STAR) model, especially Logistic STAR (LSTAR) are estimated.
Nyo Min +2 more
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The main objective of this study is to evaluate some alternatives to estimate tourism arrivals under the presence of structural changes in the sample size. Several specification of Self-exciting threshold autoregressive (SETAR) model and Smooth transition autoregressive (STAR) model, especially Logistic STAR (LSTAR) are estimated.
Nyo Min +2 more
openaire +1 more source

