华北理工大学学报社科版论文模板

ARMA model to predict the condition of the development of Hebei Province Based on

future economic

英文题目与中文题目对应，略去题目中的冠词，应避免使用下列引导性词 :“On,” “Observations on,” “Some,” and “Study of”等字样。

ZHAI Chao1， WANG Ling2

(No.1 Logistics Group of Hebei United University,Tangshan Hebei 063009,China;2. Publishing

Management Center,Hebei United University,Tangshan Hebei 063009,China)

英文作者姓名之间用逗号隔开。姓大写，名首字母大写。单位名称用全称，不用缩写，如 Lab.。

Key words： ARIMA; the total area of Hebei province income; time series analysis

英文关键词与中文关键词对应，首字母小写，词间用分号隔开。

Abstract: 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 ARIMA (2, 2) model is better to do time series analysis and prediction on the gross income of Hebei province.

英文摘要应包括论文研究目的、方法、结果和结论的主要内容，应与中文摘要对应。摘要中首次出现缩写时应注出全称。