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 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 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。
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。
The autoregressive model is a kind of linear-steady-models. so it just describes the statistics characteristic of steady array.
自回归模型属于线性平稳模型,只能描述平稳序列的统计特性。
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。
In this paper, a random coefficient functional autoregressive model is proposed and the sufficient condition of the geometric ergodicity is obtained.
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, we discuss three types of video source models: a autoregressive model, a Markov-modulated fluid flow model, and a Markov-modulated Poisson process model (MMPP).
在本论文中,我们讨论了三种视频源模型:自回归模型、马尔科夫调制流体流模型、马尔科夫调制泊松过程模型(MMPP)。
In this paper, the ultrasonic spectra of liver's structural scattering were obtained by using autoregressive model, and the spectral characteristics were analyzed statistically.
本文采用自回归模型得到肝脏组织不同区域的超声结构散射频谱,并对其频谱特征进行了统计分析。
This thesis is composed of two sections in which we discuss generalized spectral density test of conditional autoregressive heteroscedasticity for threshold autoregressive model.
本文分两节对门限自回归模型中自回归条件异方差的广义谱密度检验进行了讨论。在第一节中,我们介绍了广义谱密度检验。
At the same time, due to the non-linear condition of time sequence, conventional linear Vector Autoregressive model can hardly characterize the causality among economic variables correctly.
同时由于时间序列的非线性,常规的线性向量自回归模型难以正确描述经济变量之间的因果关系。
The result shows that the model has higher prediction accuracy. (2)The autoregressive model, BP neural network model and support vector machine model are studied in the paper, respectively.
分别对自回归模型、神经网络模型、支持向量机模型进行研究,以我国人口增长率为例,对人口增长率进行预测。
Nonparametric autoregressive model have gained much attention recently, due primarily to the fact that they can describe some nonlinear features exhibited by many data itself in applications.
非参数自回归模型因其能够描述许多数据自身所体现的非线性特征而受到人们的广泛关注。
The results validate more validity of nonlinear error correction model on the wavelet neural network than linear vector autoregressive model, and forecast validly the nonlinear economy system.
研究证明,小波神经网络所建立的非线性误差校正模型有较好的预测效果,能够有效地预测非线性经济系统。
Divided period Stationary Autoregressive model for daily flow of Pingshan hydrological station is established in this paper. Daily flow procedure during 5200 years is simulated to test this model.
建立屏山站日流量分期平稳自回归模型,并模拟了序列长度为5200年的日流量过程对该模型进行检验。
By processing the original power signal with dispersing autoregressive model AR, the difference between the measured value and the forecasting value of the model is used to judge the tool breakage.
功率原始信号经离散自回归AR模型处理,利用信号的实测值与模型预测值之间的预测偏差来判断刀具的破损。
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。
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。
This paper proves the elasticity of China's exchange market under interference after the Asian financial crisis by adopting Autoregressive Conditional Heteroscedasticity (ARCH) model.
本文通过自回归条件异方差(ARCH)模型证明了亚洲金融危机后中国汇市在干预下的弹性。
This paper presents a nonlinear autoregressive exogenous (NARX) model to approximate dynamics of crankshaft speed with the mass of the idle feeding fuel and the spark advance.
本文采用一类非线性自回归模型(NARX),描述怠速过程中怠速供油量、点火提前角与曲轴转速之间的关系。
Frequent volatility is a feature of stock market. Autoregressive Conditional Heteroscedasticity (ARCH) model is often used to forecast the variance of the benefit of financial capitals.
股票价格的频繁波动是股票市场最明显的特征之一,自回归条件异方差类模型可以很好地预测金融资产收益率的方差。
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。
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。
The turnover was used to measure the trading volume which was analyzed using the Autoregressive- Generalized Autoregressive Conditional Heteroskedasticity (AR- GARCH) model.
以市场换手率度量交易量,采用自回归广义自回归条件异方差(AR-GARCH)模型研究了中国股市交易量的时间系列。
Then, an observer bank of autoregressive time series models based on multi-component neural-network architecture is used for model diagnosis of rotor fault vibration signals.
最后根据该方法组成了一个自回归时间序列模型库,用于转子故障的模型诊断中。
In this paper, the structure of vector autoregressive (SVAR) model is used to investigate the dynamic impact effect of international oil price fluctuation on China's macroeconomy.
本文首次运用结构向量自回归(SVAR)模型,研究了国际油价波动对我国宏观经济所产生的动态冲击效应。
In this paper, the structure of vector autoregressive (SVAR) model is used to investigate the dynamic impact effect of international oil price fluctuation on China's macroeconomy.
本文首次运用结构向量自回归(SVAR)模型,研究了国际油价波动对我国宏观经济所产生的动态冲击效应。
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