Fitting Analysis of the Airport Passenger Throughput Based on Arima Model

摘要：

The airport passenger throughput has been increasing fast in resent years in China. Its quite important for airline companies and airports to study the throughput and accurately forecast the trend in the future. In this paper, ARIMA model is used to study it and the applicability of the model is discussed. By the numerical example the course of fitting with ARIMA model is shown and the steps of testing are given. The outcome shows that ARIMA model successfully describes the trend of the airport passenger throughput.

关键词： Airport passenger throughput ARIMA model Non-stationary time series

作者: Jia Chuanliang Sun Ying Wang Lubin Ma Yanlin

作者单位: School of Management Science and Engineering, Central University of Finance and Economics, P.R.China Institute of Policy and Management, Chinese Academy of Sciences, P.R.China, 100080 School of Distance, Central University of Finance and Economics,P.R.China,100081 School of Information, Central University of Finance and Economics, P.R.China, 100081

会议类型: 国际会议

会议名称: 第六届管理学国际会议(Proceedings of ICM2007 the 6th International on Management)

会议地点: 武汉

会议语种:英文

页码: 359-364

在线出版日期: 2007-08-03（万方平台首次上网日期，不代表论文的发表时间）