Although the period of using ar, MR, ARMA, ARIMA modeling methods of time series analysis for observed seismic data processing is not long, it is believed that these methods are promising.
时间序列分析中的AR,MR,ARMA,ARIMA等建模方法应用于地震观测资料分析中尚为时不长，是很有发展前途的地震信息处理方法。
Therefore, we use ARIMA time series analysis model to predict CSI 300 Index, which is a useful reference for the company and investors when making related decisions.
因此，我们用时间序列分析中的ARIMA模型来对沪深300指数建立模型，希望为企业和投资者在进行相关决策时提供有益的参考。
Therefore, we use ARIMA time series analysis model to predict CSI 300 Index, which is a useful reference for the company and investors when making related decisions.
因此，我们用时间序列分析中的ARIMA模型来对沪深300指数建立模型，希望为企业和投资者在进行相关决策时提供有益的参考。
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