The simulation USES a skewed lag-one autoregressive model.
模拟中选用了偏态的一阶自回归模型。
Threshold autoregressive models are widely used in time series applications.
门限自回归模型被广泛地用于许多领域。
Aim to study the estimates of error moments in partly linear autoregressive models.
目的研究部分线性自回归模型中误差矩的估计。
A new algorithm for autoregressive ar parameters estimation is presented in this paper.
本文提出一种估计自回归ar参数的新算法。
We study the unstable autoregressive process for the first order with infinite variance.
对具有无限方差的一阶自回归非平稳过程进行了研究。
Parametric Autoregressive (ar) model is the traditional time-domain EMG signal analyzing method.
自回归(AR)参数模型是传统的肌电信号时域分析方法。
Threshold autoregressive model (TAR) is a nonlinear sequential model which is segmentedly linear.
门限自回归模型（TAR）是一种分段线性的非线性时间序列模型。
The threshold autoregressive model is a kind of non-linear time series model recently established.
门限自回归模型是一种新近创立的非线性时间序列摸型。
A mixed autoregressive moving average (MARMA) model is proposed for modeling nonlinear time series.
提出了一类用于非线性时间序列建模的混合自回归滑动平均模型(MARMA)。
The methods for fitting the autoregressive model to the stationary time series are briefly reviewed.
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；
In forecasting, it is unsuitable to apply Autoregressive model to time series with seasonal variation.
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。
Generalized method of moments (GMM); Mixed regressive-spatial autoregressive (MRSAR); Over-identifying.
广义矩方法（GMM）；混合回归-空间自回归（MRSAR）； 过度识别。
The paper introduces Autoregressive(AR) spectral estimation that is often used in modern spectral estimation.
该文主要介绍了现代谱估计中常用到的自回归（AR）谱估计。
In this paper, a method of network traffic prediction based on wavelet transform and autoregressive model is proposed.
本文前言部分，主要介绍了网络流量预测的研究背景及本文的工作。
Methods The autoregressive models of population, new cases and incidence rate for human brucellosis dynamics were set up.
方法分别建立人口布氏菌病新发病例和发病率的自回归模型。
This paper, based on Granger causality test in a vector autoregressive process, empirically analyzed the money supply in China.
在向量自回归模型基础上，通过格兰杰因果检验对我国货币供给的内生性或外生性作了实证检验。
A method of parameter estimation for multi-dimension autoregressive models (ar, NLAR) via neural network is given in this paper.
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。
The hydrological method is using the hydrological series data to establish the autoregressive and multivariate recurrence models.
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。
This paper deals with the statistical inference of an autoregressive conditional heteroscedasticity (ARCH) model under restriction.
研究序约束条件下自回归条件异方差（ARCH）模型的统计推断。
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。
In this paper, an algorithm of normalized parametric adaptive matched filter based on time-varying autoregressive model is introduced.
文中介绍了一种基于时变自回归模型的归一化参数自适应匹配滤波算法。
When a white noise interferes with the controller, a time series autoregressive (AR) model is built using the sampled experimental data.
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。
A global smoothing method based on polynomial splines is used to estimate the coefficient functions in functional-coefficient linear autoregressive models.
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。
When a white noise interferes with the device, a time series model, proposed as AR (autoregressive) model, is conducted by using the sampled experimental data.
当白噪声干扰电流变传动器时，利用采样数据，建立时间序列的自回归模型。
A new cepstrum based noncausal autoregressive (AR) system identification method is proposed to solve the problem of adaptive identification of noncausal AR system.
为解决信号处理中非因果自回归（AR）系统的自适应辨识问题，本文提出了一种利用倒谱进行AR系统辨识的新方法。
Therefore, evaluation could be carried out by means of Generalized Autoregressive Conditional Heteroscedasticity (GARCH), which could make hedge ratio vary with time.
因此，评估可由广义自回归条件异方差(GARCH模型)，这可能使避险比率意味着出随时间变化。
Therefore, evaluation could be carried out by means of Generalized Autoregressive Conditional Heteroscedasticity (GARCH), which could make hedge ratio vary with time.
因此，评估可由广义自回归条件异方差(GARCH模型)，这可能使避险比率意味着出随时间变化。
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