non-stable time series 非平稳时序
non-stable time series model 非平稳时序模型
non-stable time series forecasting 非平稳时间序列预测
ARIMA model can be used to predict the non stable time series with adequate precision.
ARIMA模型可以较准确地预测非稳态随机过程的时间序列。
The random settlement could be gotten by random prediction model that is established by smooth and stable time series analysis method.
用平稳时间序列分析方法建立随机部分模型，并预测沉降随机部分值，二者之和即为某时期沉降预测值。
Time series of vertical crustal displacements are obtained by defining a datum of a stable group of 7 stations scattered in different regions with relatively small vertical displacements.
选分布于不同区域相对垂直位移较小的7个站为稳定点组，得到垂直位移时间序列。
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