id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-2096	Liu, Yiqun; Chen, Xiao; Wang, Qiqi; Zhu, Lipeng; Zhou, Zejiong	Forecast and Analysis of National GDP in China Based on ARIMA Model	2022	6	.pdf	application/pdf	2985	177	66	ARIMA (p, d, q) model ARMA model can only be used in stationary time series, but it is no longer applicable to non-stationary time series. Therefore, ARIMA model can better reflect the development trend and short-term forecast of national GDP.	cache/ajst-2096.pdf	txt/ajst-2096.txt