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http://dx.doi.org/10.5351/KJAS.2011.24.1.093

A Study on the Seasonal Effects of the Tourism Demand Forecasting Models  

Kim, Sahm (Department of Statistics, Chung-Ang University)
Lee, Ju-Hyoung (Department of Statistics, Chung-Ang University)
Publication Information
The Korean Journal of Applied Statistics / v.24, no.1, 2011 , pp. 93-102 More about this Journal
Abstract
In this paper, we compared the performance of the several time series models for tourism demand forecasting. We showed that seasonal effects in the data(Japan, China, USA, and Philippines) exist in the tourism data and the forecasting accuracies are compared by the RMSE criterion.
Keywords
Seasonal ARIMA model; VAR model; ECM model; tourism demand;
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Times Cited By KSCI : 2  (Citation Analysis)
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