To study this mechanism, we used the exponential autoregression model which is originated from non-linear auto-vibration.
为了探索这种活动机制，本文用基于非线性自激振动的指数自回归模型来研究这些特征。
The prediction formula and its error estimation are also established. Its regression and time-varying autoregression model is presented.
在此基础上建立时变序列预测公式及误差估计公式，给出其回归与时变自回归模型。
Forecasts of 29 stations in the Bohai Sea and 10 stations in the northern Huanghai Sea were made using the autoregression model every 10ds.
用自回归模型，对覆盖渤海标准水文断面上的29个站和北黄海的10个站的底层海水温度进行了预报。
This paper uses the recursion algorithm of the least-square method to identify an autoregression model and an autoregression moving average model.
本文用最小二乘递推算法辨识自回归模型和自回归动平均模型，编制了电力系统短期在线负荷予报程序。
The idea of seemingly unrelated autoregression model for time series was developed and applied to forecasts of Chinese inflation and foreign economy.
对时间序列提出半相依自回归模型的概念，并将其应用于我国通货膨胀与对外经济的预测。
The linear autoregression model with input variables is a comprehensive forecasting model which is superior to the conventional model for phenological forecast.
带输入项的线性自回归模型是一种综合性预测模型，较之常用的树木物候预测模型更为优越。
Moreover, Chapter Three analyzes the effects of the foreign reserve on the money supply empirically through the cointegration theory and vector autoregression model.
第三章利用协整理论与向量自回归模型，从实证上分析了外汇储备对我国货币供给的影响。
By using this material in Guangxi, the application of the linear autoregression model associated with weighting and recursive estimation was introduced for forestry.
以广西实际资料具体阐述了线性自回归加权递推模型在大林业中的应用。
Set up one time door limit prediction model of autoregression of array, study for nonlinearity of stock market this front field make new try a bit.
建立了一个时间序列的门限自回归的预测模型，为股票市场的非线性研究这一前沿领域作了一点新的尝试。
Hydrologic forecast model with multidimensional and hybrid regression system is combined by regression and autoregression methods.
多维混合回归系统模型是将回归与自回归结合起来的综合模型。
The forcasting model which was realiazed in this system, was constructed by the method of Autoregression, basing on the several years' survey data of the pest.
预测模型非自归归模型，基于本课题组长暮年调查数据构建。
The disadvantage of establishing ARMA model with traditional time series analysis is analyzed; a new model building method based on judgment rules and long autoregression is put forward.
分析了传统时间序列分析法建立ARMA模型的不足，提出了一种利用模型阶数判断准则和长自回归法建模的新方法。
The disadvantage of establishing ARMA model with traditional time series analysis is analyzed; a new model building method based on judgment rules and long autoregression is put forward.
分析了传统时间序列分析法建立ARMA模型的不足，提出了一种利用模型阶数判断准则和长自回归法建模的新方法。
应用推荐