证明了左椭球分布的极大似然估计性质。
The left ellipsoidal distribution is derived from the method of the likelihood estimations of parrameters.
本文最后一节给出了系统参数的极大似然估计。
In the last section we give the MLE of the parameters in system.
数值模拟表明条件矩估计优于渐进极大似然估计。
The simulation indicates that the condition moment estimation is more accurate than the convergence maximum likelihood estimation.
其次运用极大似然估计方法对模型的参数进行标定。
And then the model parameters are estimated by means of MLE (maximum likelihood estimation).
对其中的参数分别用极大似然法和改进的矩法进行了估计。
The distribution parameters have been estimated with either the maximum likelihood method or a modified moment method.
由极大似然估计可以得到单因子利率模型的边际密度函数。
The marginal densities of single-factor interest rate models can be obtained by maximum likelihood estimation.
本文提出了一种有效的飞行仪器偏差估计的极大似然方法。
An efficient maximum likelihood method for the estimation of instrumentation errors for flight is presented.
结构方程系数矩阵线性约束下的完全信息极大似然估计法。
The first is the full information maximum likelihood method with linear constraint of coefficient matrixes in structure equation.
本文讨论了在有序抽样样本下的参数的极大似然估计的性质。
In this paper, we consider properties of the parameter's maximum likelihood estimations based on ranked set samples.
推导了加速寿命试验条件下幂律退化模型参数的极大似然估计。
Then the parameter's MLE of power law model was carried out under accelerated environment.
首先，介绍了有限混合模型理论及应用EM算法求解极大似然估计。
Firstly, we introduce the theory of finite mixture model and EM algorithm for maximum likelihood estimation.
提出了一种基于地心坐标系（ECEF）的传感器极大似然配准算法。
An maximum likelihood registration algorithm based on earth-centered earth-fixed (ECEF) coordinate system is presented.
证明了一个分类网络的测试集正确率是该网络推广能力的极大似然估计；
And the accuracy rate of a classification network is explained as the maximum likelihood estimation of the generalization ability.
当误差为正态分布时，与和极大似然估计完全一致，具有一致性和最小估值偏差。
They are consistent with the Sum Maximum Likelihood Estimate and have consistence and minimum bias.
给出了趋势检验、AMSAA模型的拟合优度检验及模型参数的极大似然估计方法。
The tendency check, goodness of fit check, maximum likelihood estimates (MLE) of the parameters and MTBF for AMSAA model are presented.
而且本文通过极大似然法估计小波系数概率模型中的三个参数，使算法达到自适应。
Furthermore, through the maximum likelihood used for evaluating three parameters of wavelet coefficients' probability model, the adaptive algorithm is derived in the article.
后者既包括基于广义帕雷托分布（GPD）参数的极大似然估计，又包括矩法估计等。
The latter since include maximum likelihood estimate of the GPD(generalized Pareto distribution ) model parameters to still include moment estimate etc.
结论基于MCECM算法的极大似然估计方法可用于估计非线性因子分析模型的参数。
Conclusion the maximum likelihood method based on MCECM algorithm can be used to estimate the parameters of non-linear factor analysis model.
方法借助于更新过程的理论，给出了前一种寿命试验的极大似然估计并举出模拟例子。
Methods Based on the theory of renewal process the maximum likelihood estimators of parameters of the former are given.
本文基于正交计算灵敏度的极大似然估计算法研究了弹性飞行器的气动参数辨识问题。
In this paper, the aerodynamic parameter identification of elastic aircraft is studied by the maximum likelihood estimation algorithm using, orthogonal test table for computing sensitivities.
通过应用极大似然估计方法，解决了产品寿命和维修时间分布中未知参数估计的问题。
By using the maximum likelihood estimation method, the unknown parameters in the lifetime and repair time distribution are solved.
工程上，可以依据文中提供的结论定量分析威布尔分布形状参数极大似然估计量的精度。
In the practice projects, the precision of maximum likelihood estimation of Weibull shape parameter is quantitatively provided by the conclusion.
本文基于信息极大似然估计，采用牛顿迭代算法，建立了ICA的一种信息极大快速算法。
In this paper, proposed is the informax fast algorithm of ICA using information maximum likelihood estimation with the Newton iterate algorithm.
本文针对小子样可靠性统计试验的特点，指出经典可靠性点估计和极大似然区间估计的不足。
For the case of the reliability statistical test which is a small sample, this paper presents disadvantages of point and interval estimation of classical reliability.
在因子范围服从对数正态分布下，应用线性回归技术和极大似然法建立了模型参数的测定方法。
Parameters of the model are measured by a linear regression technique and a maximum likelihood method.
这一结论是解释极大似然反褶积成功的关健，同时也说明极大似然反褶积具有相当高的稳健性。
This conclusion explains the key element of the MLD, and also points out that maximum likelihood deconvolution has a very high solid property feature.
研究了非线性连续—离散系统极大似然估计方法的实现及其在飞行器气动参数辨识中的应用问题。
The implementation of maximum likelihood estimation method to the nonlinear continuous ?discrete systems and application to aerodynamic parameter identification for vehicle are studied.
分析了等效系统参数辨识方法，采用最小二乘法与频域极大似然法求解先进飞机的低阶等效系统。
The methods of parameters identification are analyzed and low-order equivalent system is identified by frequency domain maximum likelihood method and least square method.
分析了等效系统参数辨识方法，采用最小二乘法与频域极大似然法求解先进飞机的低阶等效系统。
The methods of parameters identification are analyzed and low-order equivalent system is identified by frequency domain maximum likelihood method and least square method.
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