苏州科技大学学报（自然科学版）2018，Vol.35Issue(1)：28-32,5.DOI:10.12084/j.issn.2096-3289.2018.01.006
ARIMA乘积季节模型在财政收入预测中的应用
Application of ARIMA multiplicative seasonal model in financial revenue forecasting
摘要
Abstract
We mainly used the quarterly data of national financial revenue of China from the first quarter of 2004 to the third quarter of 2016. The tendency and seasonality of the data were eliminated by the difference method. Then we established an ARIMA(4,1,4)(1,1,1)4model through the fitting analysis of the data by E-views 8.0. Finally, we forecasted the quarterly financial revenue of China in the future with the model. The re-sults forecasted can provide some help for the government in making short-term financial policies.关键词
ARIMA乘积季节模型/财政收入/预测Key words
ARIMA multiplicative seasonal model/financial revenue/forecasting分类
数理科学引用本文复制引用
蒋泽迪,程毛林..ARIMA乘积季节模型在财政收入预测中的应用[J].苏州科技大学学报（自然科学版）,2018,35(1):28-32,5.基金项目
国家自然科学基金资助项目(11401418) （11401418）
