基于自回归滑动平均模型(ARMA)的方法，实现了不同车速和路面条件下的随机振动信号的实验室再现。
The reconstruction of vehicle random vibration signal under different vehicle speed and road conditions is realized in laboratory, based on an auto regressive moving average (ARMA) time series model.
提出了随机系数泛函自回归模型，得到了几何遍历性的充分条件。
In this paper, a random coefficient functional autoregressive model is proposed and the sufficient condition of the geometric ergodicity is obtained.
该文针对风速随机变化的特性，在风速统计特性研究的基础上，用自回归滑动平均(ARMA)方法建立了具有一定功率谱密度特性的风速模型。
This paper deals with stochastic characteristic of the wind speed, and gives an auto-regressive moving-average (ARMA) model for wind speed subjected to particular power spectral density.
该文在分析了时间序列模型的自回归系数对结构单元刚度灵敏度的基础上，提出了一种采用随机载荷作用下结构的时域响应数据进行损伤识别的新方法。
A new method is developed for identifying structural damages at the element level by using time-domain response data at a few points caused by random loadings.
最常使用的五个模型是石油期货价格、回归结构模型、时间序列分析、贝叶斯自回归模型和动态随机一般均衡图。
The five models used most often are oil futures prices, regression-based structural models, time-series analysis, Bayesian autoregressive models and dynamic stochastic general equilibrium graphs.
应用线性回归分析和移动平均理论，对按时间次序排列的单一数据序列，给出了一种线性移动自回归预测模型，并对原始数据受不确定因素影响而产生的随机振荡，给出了合理的控制区间和运行通道。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
笔者利用时间序列中的自回归模型AR来求取脉动风的随机过程，找出了适合某电视塔的自回归模型的阶数。
This paper makes use of auto regression model named AR in the array of time to found out the stochastic process of pulse wind. The suitable step number of auto regression …
笔者利用时间序列中的自回归模型AR来求取脉动风的随机过程，找出了适合某电视塔的自回归模型的阶数。
This paper makes use of auto regression model named AR in the array of time to found out the stochastic process of pulse wind. The suitable step number of auto regression …
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