%0 Journal Article
%T 基于ARIMA模型的重庆GDP预测研究<br>Research on Chongqing GDP Forecast Based on ARIMA Model
%A 耿春燕
%J Statistics and Applications
%P 859-866
%@ 2325-226X
%D 2022
%I Hans Publishing
%R 10.12677/SA.2022.114089
%X 对1978年至2021年重庆GDP数据，利用R软体建立ARIMA模型，对建立的模型进行优化评估，并用该模型预测重庆2017~2021年GDP数据，与真实数据进行比较，以确定模型预测的准确性。根据建立的时间序列分析得到最优模型为ARIMA(2, 2, 2)，预测值与实际值的平均相对误差为1.36%，ARIMA模型很好地拟合了重庆GDP发展的趋势。可以利用ARIMA模型进行较准确的短期预测，为重庆经济的发展提供参考。<br />
Based on the GDP data of Chongqing from 1978 to 2021, the ARIMA model was established by R software, and the model was optimized and evaluated. The model was used to predict the GDP data of Chongqing from 2017 to 2021, and compared with the real data to determine the accuracy of the model prediction. According to the established time series analysis, the optimal model is ARIMA(2, 2, 2), and the average relate error between the predicted value and the actual value is 1.36%. The ARIMA model fits the GDP development trend of Chongqing well. The ARIMA model can be used to make a more accurate short-term forecast and provide reference for the economic development of Chongqing.
%K GDP，单位根检验，ARIMA，预测<br>GDP
%K Unit Root Test
%K ARIMA
%K Forecast
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=54774