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Ethiopian Airlines Joins Hands with Union Pay International for Easy Online Payment
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《ChinAfrica》 2015年第6期44-44,共1页
Ethiopian Airlines and UnionPay Interna- tional have signed a cooperation agree- ment that allows customers to pay with UnionPay cards when buying Ethiopian Airlines tickets online. The purchases can be made at both E... Ethiopian Airlines and UnionPay Interna- tional have signed a cooperation agree- ment that allows customers to pay with UnionPay cards when buying Ethiopian Airlines tickets online. The purchases can be made at both Ethiopian Airlines' Chinese website (wwwoethiopianairlines. com.cn) and English website (www.ethio- pianairlines.com). The transactions can be made with UnionPay cards starting with 62. The two organizations announced this service jointly at the UnionPay In- ternational headquarters in Shanghai on May 12. 展开更多
关键词 Ethiopian airlines Joins Hands with Union Pay international for Easy Online Payment
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The Application of Kernel Smoothing to Time Series Data
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作者 Zhao-jun Wang Yi Zhao Chun-jie Wu Yan-ting Li 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2006年第2期219-226,共8页
There are already a lot of models to fit a set of stationary time series, such as AR, MA, and ARMA models. For the non-stationary data, an ARIMA or seasonal ARIMA models can be used to fit the given data. Moreover, th... There are already a lot of models to fit a set of stationary time series, such as AR, MA, and ARMA models. For the non-stationary data, an ARIMA or seasonal ARIMA models can be used to fit the given data. Moreover, there are also many statistical softwares that can be used to build a stationary or non-stationary time series model for a given set of time series data, such as SAS, SPLUS, etc. However, some statistical softwares wouldn't work well for small samples with or without missing data, especially for small time series data with seasonal trend. A nonparametric smoothing technique to build a forecasting model for a given small seasonal time series data is carried out in this paper. And then, both the method provided in this paper and that in SAS package are applied to the modeling of international airline passengers data respectively, the comparisons between the two methods are done afterwards. The results of the comparison show us the method provided in this paper has superiority over SAS's method. 展开更多
关键词 Nonparametric regression kernel smoothing seasonal time series ARIMA model SAS package international airline passengers
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