基于主成分分析和统计建模的数据预测

Data Prediction Based on Principal Component Analysis and Statistical Modeling

不同于传统的灰色理论方法,利用主成分分析和时间序列分析相结合的方法对辽宁省近20年的GDP数据进行统计建模,预测了该省未来几年的GDP走势,并利用统计软件编程实现。结果显示该模型具有较好的预测效果。

Different from the traditional gray theory method,this paper uses both principal component analysis and time series analysis to construct a statistical model with the GDP data of Liaoning province in recent 20 years.It predicts the GDP trend of the province in the next few years and realize the programming with statistics software.