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backpropagation neural networks in forecasting tourism demand influenced by different factors. A numerical example from an existing … outperforms other approaches for forecasting tourism demand …
Persistent link: https://www.econbiz.de/10014060169
The purpose – Accurately forecasting the demand for international health tourism is important to newly-emerging markets …) to provide a concise prediction model that will improve the ability to forecast the demand for health tourism in Asian … model (GM(1,1)- ) to predict the demand for health tourism in Asian countries. Approach – Implementation of demand …
Persistent link: https://www.econbiz.de/10014162595
The purpose of this paper is to construct adequate seasonal ARIMA models, using Box-Jenkins methodology, and to implement them in order to forecast short run flows of tourist arrivals and tourist overnight stays in Montenegro. Time scope covers ten years, from 2001/01 to 2010/12, while twelve...
Persistent link: https://www.econbiz.de/10013104555
taking part in this form of tourism. Therefore the purpose of this paper is to forecast cruise tourism demand at the level of … destinations for cruise tourism in the Mediterranean. The rapidly increasing number of passengers on cruise voyages has put … tourism destination management …
Persistent link: https://www.econbiz.de/10013079618
quantitative models available for tourism stakeholders to utilize in decision-making and planning. The country is experiencing … foreign currency shortages, which may be alleviated if the tourism industry, which has the power to generate foreign currency …, and allocation, accurate tourist projections are critical to the government and other tourism stakeholders. The goal of …
Persistent link: https://www.econbiz.de/10014226568
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tourism sector, boosted by the advent of online booking, generating accurate forecast figures is nowadays a tough task …
Persistent link: https://www.econbiz.de/10014261797
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