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ARIMA

于 2020-06-30 发布
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代码说明:

说明:  ARIMA 模型是在平稳的时间序列基础上建立起来的,因此时间序列的平稳性是建模的重要前提。检验时间序列模型平稳的方法一般采用 ADF 单位根检验模型去检验。当然如果时间序列不稳定,也可以通过一些操作去使得时间序列稳定(比如取对数,差分),然后进行 ARIMA 模型预测,得到稳定的时间序列的预测结果,然后对预测结果进行之前使序列稳定的操作的逆操作(取指数,差分的逆操作),就可以得到原始数据的预测结果。(time series prediction ARIMA)

文件列表:

ARIMA.m, 2752 , 2020-06-29

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