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A Study on the Tourism Combining Demand Forecasting Models for the Tourism in Korea
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 Title & Authors
A Study on the Tourism Combining Demand Forecasting Models for the Tourism in Korea
Son, H.G.; Ha, M.H.; Kim, S.;
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 Abstract
This paper applies forecasting models such as ARIMA, Holt-Winters and AR-GARCH models to analyze daily tourism data in Korea. To evaluate the performance of the models, we need single and double seasonal models that compare the RMSE and SE for a better accuracy of the forecasting models based on Armstrong (2001).
 Keywords
ARIMA model;Holt-Winters model;AR-GARCH model;combining forecasting;
 Language
Korean
 Cited by
1.
Performance Evaluation of Time Series Models using Short-Term Air Passenger Data,;;

응용통계연구, 2012. vol.25. 6, pp.917-923 crossref(new window)
2.
계절 ARIMA 모형을 활용한 농촌관광 수요예측에 관한 연구 -양평 외갓집 체험마을을 중심으로-,황경후;

농어촌관광연구, 2014. vol.21. 1, pp.39-54
1.
Performance Evaluation of Time Series Models using Short-Term Air Passenger Data, Korean Journal of Applied Statistics, 2012, 25, 6, 917  crossref(new windwow)
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