... Stationary time series model 平稳时间序列模型 Model selection and estimation 模型估计和选择 Trend and seasonal 趋势和季节性 ...
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non-stationary time-series model 非平稳时间序列模型
The methods for fitting the autoregressive model to the stationary time series are briefly reviewed.
本文首先略述用自回归模式去拟合平稳时间序列的各种方法；
The statistical model of frequency and intensity of anomalous microtherm events in Nanjing is established by means of the extreme value distribution theory of stationary time series.
本文借助于平稳时间序列的极值分布理论，对南京地区异常低温事件频次和强度建立统计模型。
Through ARIMA model and standardization, the non stationary vibration series acquired in the field were transformed to stationary time series normally distributed.
将现场测得的非平稳振动序列通过ARIMA模型和标准化处理，转化成标准正态平稳时间序列。
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