摘要
大多数时间序列具有惯性或是迟缓性。通过对这种惯性的分析,未来值可以由时间序列的当前值进行估计。以1978年到2011年河北省地区收入总额数据为研究对象,将这些数据平稳化并做分析,发现ARMA(2,2)模型能比较好的对河北省地区收入总值进行时间序列分析和预测。
In most times series has inertiate ,or it is slow .Through the analysis of this kind of inertia ,the future value is estimated by the current time series .This paper adopt the GDP data area of Hebei Province from 1978 to 2011 as the research object .If the data is smoothing and do relevant analysis .Then we found that ARIM A （2 ,2） model is better to do time series analysis and prediction on the gross income of Hebei province .
出处
《河北联合大学学报（社会科学版）》
2015年第1期28-31,共4页
Journal of Hebei Polytechnic University:Social Science Edition
