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以2004年1月到2015年5月我国社会消费品零售总额的月度数据为研究对象,利用ARIMA模型对其进行时间序列模型分析,并且用Eviews对2015年6月到12月的数据进行预测。
Taking the monthly data of total retail sales of social consumer goods in China from January 2004 to May 2015 as the research object, ARIMA model was used to analyze the time series model and Eviews was used to predict the data from June to December in 2015.