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http://dx.doi.org/10.5351/KJAS.2012.25.2.251

A Study on the Tourism Combining Demand Forecasting Models for the Tourism in Korea  

Son, H.G. (Department of Applied Statistics, Chung-Ang University)
Ha, M.H. (Department of Applied Statistics, Chung-Ang University)
Kim, S. (Department of Applied Statistics, Chung-Ang University)
Publication Information
The Korean Journal of Applied Statistics / v.25, no.2, 2012 , pp. 251-259 More about this Journal
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;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Shen, S., Li, G. and Song, H. (2009). Effect of seasonality treatment on the forecasting performance of tourism demand models, Tourism Economics, 15, 693-708.   DOI
2 Taylor, J. W. (2003). Short-term electricity demand forecasting using double seasonal exponential smoothing, Journal of the Operational Research Society, 54, 799-805.   DOI   ScienceOn
3 Taylor, J. W. (2010). Triple seasonal methods for short-term electricity demand forecasting, European Journal of Operational Research, 204, 139-152.   DOI   ScienceOn
4 윤지성, 허남균, 김삼용, 허희영 (2010). 계절형 다변량 시계열 모형을 이용한 국제항공 여객 및 화물 수요예측에 관한 연구, <한국통계학회 논문집>, 17, 473-481.   과학기술학회마을   DOI   ScienceOn
5 허남균, 정재윤, 김삼용 (2009). 다변량 시계열 모형을 이용한 항공 수요 예측 연구, <응용통계연구>, 22, 1007-1077.   과학기술학회마을   DOI   ScienceOn
6 Armstrong, J. (2001). Combining forecasting, International Series in Operations Research and Management Science, 417-440.
7 Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 31, 307-327.   DOI   ScienceOn
8 Box, G. E. P. and Jenkins, G. (1994). Time Series Analysis: Forecasting and Control, Prentice Hall.
9 Caiado, J. (2010). Performance of combined double seasonal univariate time series models for forecasting water demand, Journal of Hydrologic Engineering, 15, 215-222.   DOI   ScienceOn
10 Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica: Journal of the Econometric Society, 987-1007.