安徽农业科学2011，Vol.39Issue(20)：12449-12451,3.
时间序列分析模型及其在GDP预测中的应用研究
Study on Time Series Analysis Model and Its Application in GDP Forecasting
李晴 1杨春1
作者信息
- 1. 中国地质大学(武汉)经济管理学院,湖北,武汉,430074
- 折叠
摘要
Abstract
With an analysis of the modeling process of Autoregressive Integrated Moving Average model (ARIMA) (p, d, q) of time series model, the ARIMA (1, 1,0) model was established according to GDP data of Nanning in Guangxi Province, and tests this model with the Eviews 5.0 statistical software. The examination results indicated that the model has good predictive values and clear practical significance, thus providing decision support for the establishment of economic development goals of Nanning.关键词
博克斯-詹金斯模型/ARIMA/时间序列分析/GDP预测/ADF单位根检验Key words
Box-Jenkins model/ARIMA/ Time series analysis/ GDP forecast/ ADF unit root test分类
经济学引用本文复制引用
李晴,杨春..时间序列分析模型及其在GDP预测中的应用研究[J].安徽农业科学,2011,39(20):12449-12451,3.
