摘要
以广东省GDP的时间序列数据为依据,分别应用Winters模型和ARMA模型以及加权综合这两个模型的方法对其进行季度性GDP值的短期预测,通过比较由不同方法得出的预测结果的绝对百分误差的大小,选择出绝对百分误差最小的方法·
Based on time series data of Guangdong GDP, Winters model, ARMA model and an integrated method which is combined by the two models are chosen to predict the seasonal GDP. By comparing the MPE of different methods, the method with least MPE is selected to forecast the GDP.
出处
《天津工业大学学报》
CAS
2007年第5期83-85,88,共4页
Journal of Tiangong University
