单词查询
autoregressive
美[ɔto'rɪɡresɪv]，英[ɔ:təʊ'rɪɡresɪv]，
释义
「
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adj. 自回归的； 网络释义： 自动回归；自我回归；自我回归性质；
例句
In this paper, the Multivariate Autoregressive Model( MARM ) in time series is applied to set up the movement state of naval vessel .
可从时域的角度，采用时间序列中多维自回归模型实现对舰船运动姿态的辨识。
Influences of the time interval and autoregressive coefficient on the wind load simulation are discussed. 2.
另外还讨论了时间间隔和自回归阶数的取值对结构风荷载模拟的影响。
Finally, I predict financial risk situation for the next two years in Gansu province by use of AR autoregressive time series model.
最后，运用AR自回归时间序列模型对未来两年甘肃省金融风险状况进行预测。
The autoregressive conditional heteroscedasticity (ARCH) model and cointegration theory of the non-classical econometrics are reviewed. 3.
对非经典计量经济学中的条件异方差模型和协整理论作了较为完整的综述。
In this paper we propose the implementation of autoregressive (AR)-model interpolation as a solution to the problem.
在本文中，我们提出实施自回归（AR）的模型插值作为解决问题的办法。
The generalized autoregressive conditional heteroscedasticity (GARCH) model has the ability to describe the volatility of time series.
广义自回归条件异方差（GARCH）模型具有描述时间序列波动性的能力。
For multiple stationary time series Granger causality tests and vector autoregressive models are presented.
多平稳时间序列，“格兰其”成员因果律测试和自回归模式给的矢量。
Ignoring this autoregressive dynamics will lead to an imprecise model representation and result in unsatisfactory control results.
而忽略此一自我相关的存在使得模式不够精确进而使得控制效果不如预期。
Under this circumstance, Engle brings forward the autoregressive conditional heteroscedasticity model(ARCH) in 1982.
在这种情况下，恩格尔于1982年提出了自回归条件异方差模型，简称ARCH模型。
The mixed autoregressive moving average (ARMA) and hidden periodicity model is chosen to predict a short term series of electricity price.
应用混合自回归滑动平均潜周期模型对短期电价序列进行了预测。
可从时域的角度，采用时间序列中多维自回归模型实现对舰船运动姿态的辨识。
Influences of the time interval and autoregressive coefficient on the wind load simulation are discussed. 2.
另外还讨论了时间间隔和自回归阶数的取值对结构风荷载模拟的影响。
Finally, I predict financial risk situation for the next two years in Gansu province by use of AR autoregressive time series model.
最后，运用AR自回归时间序列模型对未来两年甘肃省金融风险状况进行预测。
The autoregressive conditional heteroscedasticity (ARCH) model and cointegration theory of the non-classical econometrics are reviewed. 3.
对非经典计量经济学中的条件异方差模型和协整理论作了较为完整的综述。
In this paper we propose the implementation of autoregressive (AR)-model interpolation as a solution to the problem.
在本文中，我们提出实施自回归（AR）的模型插值作为解决问题的办法。
The generalized autoregressive conditional heteroscedasticity (GARCH) model has the ability to describe the volatility of time series.
广义自回归条件异方差（GARCH）模型具有描述时间序列波动性的能力。
For multiple stationary time series Granger causality tests and vector autoregressive models are presented.
多平稳时间序列，“格兰其”成员因果律测试和自回归模式给的矢量。
Ignoring this autoregressive dynamics will lead to an imprecise model representation and result in unsatisfactory control results.
而忽略此一自我相关的存在使得模式不够精确进而使得控制效果不如预期。
Under this circumstance, Engle brings forward the autoregressive conditional heteroscedasticity model(ARCH) in 1982.
在这种情况下，恩格尔于1982年提出了自回归条件异方差模型，简称ARCH模型。
The mixed autoregressive moving average (ARMA) and hidden periodicity model is chosen to predict a short term series of electricity price.
应用混合自回归滑动平均潜周期模型对短期电价序列进行了预测。