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。
This paper, firstly analyzes the affect caused by the uncertainty, then studies the statistics and time series based method for spectrographic oil data processing and wear diagnosis. An example …
本文分析了补换油不确定性对光谱分析的影响，提出了基于多元线性回归和时间序列分析的光谱数据处理与磨损故障诊断的方法，并通过实例验证了这一方法的适用性。
The dynamic data system (a kind of time series analysis technique) is used in the processing of the data collection for electrode voltage and ARMA stochastic dynamic models established.
文中将动态数据系统应用于电阻电压采样数据的处理，建立动态模型。该数学模型及有关判据，可用于监测与控制焊接过程。
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