Title: Methods of Air Traffic′s Seasonal Forecast and Evaluation
Abstract: By forecasting Chinese air traffic involving the freight turnover,the number of passengers and the volume of air cargo with the monthly and seasonal data,the Holt-Winters method and ARIMA method have been evaluated.The results show that seasonal ARIMA(auto-regression-integrated-maving average) method is better than Holt-Winters method although both methods work well and ARIMA method with seasonal data produce the best forecasts.
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
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