时间序列模型主要是自回归模型。
模拟中选用了偏态的一阶自回归模型。
门限自回归模型被广泛地用于许多领域。
Threshold autoregressive models are widely used in time series applications.
本文提出一种估计自回归ar参数的新算法。
A new algorithm for autoregressive ar parameters estimation is presented in this paper.
目的研究部分线性自回归模型中误差矩的估计。
Aim to study the estimates of error moments in partly linear autoregressive models.
利用自回归模型对船舶运动进行了预报试验研究。
Experimental study on ship motion prediction using auto regressive model was carried out.
对具有无限方差的一阶自回归非平稳过程进行了研究。
We study the unstable autoregressive process for the first order with infinite variance.
他提出了一个统计工具，向量自回归(VAR)，来解决这一问题。
He proposed a statistical tool, the vector autoregression (VAR), as a solution to this problem.
门限自回归模型是一种新近创立的非线性时间序列摸型。
The threshold autoregressive model is a kind of non-linear time series model recently established.
他使用了一个被称为“向量自回归模型”的经济分析工具。
He has used a tool of economic analysis, called a vector auto-regression model.
自回归(AR)参数模型是传统的肌电信号时域分析方法。
Parametric Autoregressive (ar) model is the traditional time-domain EMG signal analyzing method.
提出了采用遗忘因子的自回归（AR）模型的功角预测方法。
The rotor angle predicting method adopting the forgetting index of auto regression (AR) model arithmetic is presented.
本文首先略述用自回归模式去拟合平稳时间序列的各种方法；
The methods for fitting the autoregressive model to the stationary time series are briefly reviewed.
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。
Hydrologic forecast model with multidimensional and hybrid regression system is combined by regression and autoregression methods.
该文主要介绍了现代谱估计中常用到的自回归（AR）谱估计。
The paper introduces Autoregressive(AR) spectral estimation that is often used in modern spectral estimation.
水文方法是利用水文序列资料建立自回归模型和多元递推模型。
The hydrological method is using the hydrological series data to establish the autoregressive and multivariate recurrence models.
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。
For multiple stationary time series Granger causality tests and vector autoregressive models are presented.
对于具有季节变动的时间序列，使用自回归模型进行预测是不适宜的。
In forecasting, it is unsuitable to apply Autoregressive model to time series with seasonal variation.
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。
By using this material in Guangxi, the application of the linear autoregression model associated with weighting and recursive estimation was introduced for forestry.
当白噪声干扰方向控制器时，可以用采样数据建立时间序列的自回归模型。
When a white noise interferes with the controller, a time series autoregressive (AR) model is built using the sampled experimental data.
目的探讨三维自回归趋势面模型技术在疾病时空动态分析预测中的应用价值。
Objective to explore applicability of tri dimensional auto regression trend surface model in studying the space time dynamic of disease.
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。
The generalized autoregressive conditional heteroscedasticity (GARCH) model has the ability to describe the volatility of time series.
广义矩方法（GMM）；混合回归-空间自回归（MRSAR）； 过度识别。
Generalized method of moments (GMM); Mixed regressive-spatial autoregressive (MRSAR); Over-identifying.
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。
The prediction formula and its error estimation are also established. Its regression and time-varying autoregression model is presented.
本文提出一种基于神经网络的多维自回归模型(AR,NLAR)参数估计方法。
A method of parameter estimation for multi-dimension autoregressive models (ar, NLAR) via neural network is given in this paper.
基于多项式样条全局光滑方法，建立函数系数线性自回归模型中系数函数的样条估计。
A global smoothing method based on polynomial splines is used to estimate the coefficient functions in functional-coefficient linear autoregressive models.
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。
To study this mechanism, we used the exponential autoregression model which is originated from non-linear auto-vibration.
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。
The linear autoregression model with input variables is a comprehensive forecasting model which is superior to the conventional model for phenological forecast.
本文利用混沌经济学和向量自回归(VAR)方法，实证分析了我国通货紧缩的成因及发展趋势。
In this paper, chaotic economics theory and VAR (vector autoregression) are put forward to analyze the causes and trends of deflation in China.
本文利用混沌经济学和向量自回归(VAR)方法，实证分析了我国通货紧缩的成因及发展趋势。
In this paper, chaotic economics theory and VAR (vector autoregression) are put forward to analyze the causes and trends of deflation in China.
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