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。
Finally, the random error model of HRG is established by using time series analysis method.
最后，采用时间序列分析方法建立了半球谐振陀螺的随机误差模型。
The reliability of the time-series analysis method in processing unsteady random signals is verited.
验证了时间序列分析方法在非平稳随机信号处理方面的可靠性；
The example result shows that the random-sets method is a nice approach to time series analysis.
实例结果分析表明，随机集模型是一种很好的时间序列分析方法。
Furthermore, a random drift error model for IFOG is built by the method of time series analysis.
此外，采用时间序列分析方法，建立了IFOG的随机漂移误差模型。
Based on random process theory and time series analysis, the paper advanced the adaptive combined smoothing model suiting to seasonality, trend and randomness of water consumption series.
利用随机过程及时间序列分析手段，根据用水量序列季节性、趋势性及随机扰动性的特点，建立了用水量预测的自适应组合平滑模型。
This paper explores the experimental modal analysis of machine tool structures with rotating spindle. the excitation signal is the pseudo-random binary M series.
本文利用M序列的随机信号进行了机床运转状态下试验模态分析的探索。
First presented is a method of regression analysis combined with random time series technique for analysis of monitoring data of DAMS.
首先，叙述用回归分析与随机时间序列技术的组合方法来处理大坝的监测数据。
The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.
同时考虑样地的随机效应、观测数据的时间序列相关性及不同初植密度的混合模型模拟精度比传统的非线性回归方法模拟精度高。
The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.
同时考虑样地的随机效应、观测数据的时间序列相关性及不同初植密度的混合模型模拟精度比传统的非线性回归方法模拟精度高。
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