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conditional equation相关的网络例句

查询词典 conditional equation

与 conditional equation 相关的网络例句 [注:此内容来源于网络,仅供参考]

Theoretically, the paper generalizes the conditional β convergence framework to incorporate the integrating effect into the famous Barro Regression Equation.

在理论上,我们构造了一个简单可行的旨在考察地方市场分割影响区域经济协调发展的分析框架。

Then the stationary joint probability density, the conditional reliability function, the mean first-passage time of the optimally controlled system are obtained from solving the reduced FPK equation, the backward Kolmogorov equation and the Pontryagin equation, respectively of fully averaged systems.

求解与之相应的Fokker-Planck-Kolmogorov方程得最优控制系统的联合概率密度,进而求得最优控制系统的平均幅值;求解与之相应的后向Kolmogorov方程得最优控制系统的条件可靠性函数,进而求得首次穿越时间的条件概率密度;求解与之相应的Pontryagin方程得最优控制系统的平均首次穿越时间。

Using GARCH( 1,1 ) model with dummy variables in return equation and modified GARCH( 1,1 ) model with dummy variables in conditional variance equation, the writer of this paper conducts an empirical investigation into the day-of-the-week effect on returns and volatility in open-end fund during the period of June 1,2003 and August 18, 2005 in China respectively.

运用均值方程含有虚拟变量的GARCH(1,1)模型和条件方差方程含有虚拟变量的修正的GARCH(1,1)模型,我们分别对2003年6月1日至2005年8月18日期间中国开放式基金收益的周内效应和收益波动性的周内效应进行实证研究,结果显示,在研究期间内样本基金收益及收益的波动性在周三这一天显著不同于其他交易日,即存在"周三效应"。

It is shown that including current trading volume in the conditional variance equation of EGARCH model dramatically reduces the persistence of the conditional variance, meaning that the current trading volume is a good proxy variab...

在EGARCH模型条件方差方程中加入当前交易量可以显著降低条件方差波动的持续性,表明当前交易量可以代表引起收益率 ARCH效应的新信息。

Additionally, this research used One-Pass Method for first time to estimate jointly the conditional mean equation and conditional variance equation of Bivariate GARCH Model to avoid estimating error in previous relative studies with Two-Pass Method.

此外,本文在进行模型估计时,首度采用一阶段估计法,来联合估计双变量GARCH模型中的条件平均数方程式与条件变异数方程式,以避免过去相关文献将两条方程式个别估计时所造成的估计误差。

First, the backward Kolmogorov equation for the conditional reliability function and the Pontryagin equation for mean first-passage time and then- associated boundary and initial conditions are derived based on the stochastic averaging methods for quasi non-integrable, quasi integrable and quasi partially integ...

首先利用拟不可积、拟可积非共振及拟部分可积非共振Hamilton系统的随机平均法分别给出了研究该系统首次穿越问题的提法,包括计算条件可靠性函数的后向Kolmogorov方程及计算平均首次穿越时间的Pontryagin方程及其边值条件。

Then the FPK equation governing the joint probability density of amplitude and phase, the backward Kolmogorov equation governing the conditional reliability function, and the Pontryagin equation governing the mean first passage time are established, respectively.

随机微分方程。在此基础上,建立联合概率密度满足的Fokker-Planck-Kolmogorov方程、条件可靠性函数满足的后向Kolmogorov方程以及平均首次穿越时间满足的Pontryagin方程,分别求解这些方程得到联合概率密度、条件可靠性函数以及平均首次穿越时间。

In the algorithm, the conditional linear state equation is first inserted into the measurement equation, which fuses the linear state process noise and the original measurement noise, whereafter the GHF is used to estimate the nonlinear states. Then the estimated means of the nonlinear states are inserted into the linear state equation and the original measurement equation to estimate the linear states by the KF. Moreover, in order to improve the accuracy of the estimates, the estimated variances of the nonlinear states are fed back to modify the estimations of the linear states using the KF.

算法将模型中的条件线性状态方程代入观测方程,并融合线性状态的过程噪声和观测噪声,由GHF获得非线性状态的估计;再将非线性状态的估计均值代入线性状态方程与观测方程,由KF获得线性状态的估计;获得的非线性状态估计方差还用于修正由KF估计的线性状态,以提高精度。

Keywords: ADT, Algebraic specifications, Conditional equation, Correctness

如果能获得简明的条件描述,那么就容易写出条件方程。

In the Gaussian sum filter-Kalman filter algorithm, the conditional linear state equation is first inserted into the measurement equation, which fuses the linear State process noise and the original measurement noise. And the GSF is applied to the new measurement and nonlinear state equations to estimate the nonlinear states. Then the estimations of the nonlinear states are inserted into the linear state equation and the original measurement equation to estimate the linear states by the KF.

算法将模型中的条件线性状态方程代入观测方程,并融合线性状态的过程噪声和观测噪声,再与非线性状态方程联立,由高斯和滤波器(Gaussian sum filter, GSF)获得非线性状态的估计;然后将估计值代入线性状态方程与观测方程,由卡尔受滤波器(Kalman Filter, KF)获得线性状态的估计。

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