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.
EM算法是一种很有效的最大似然估计方法。
EM algorithm has become one of the methods of choice for ML estimation.
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).
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.
采用最大似然估计算法，对模型中的隐含参数进行了估计。
The model parameters were estimated by a maximum likelihood algorithm, which maximizes the likelihood of the observed data.
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.
利用最大似然估计原理，给出了构建系统发生树的模型和算法。
A model and an algorithm were provided for constructing phylogenetic tree based on the principle of maximum likelihood estimate.
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.
经过几次迭代，可以有效地实现目标TPC的最大似然估计和补偿。
After several iterations, the maximum likelihood estimation and compensation of the TPC of the target can be realized more effectively.
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.
通过蒙特卡罗模拟和实例表明多层贝叶斯估计比最大似然估计更加有效。
It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example.
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.
分析了现有的基于循环前缀的最大似然估计算法及其对频偏估计的跟踪。
Secondly, The ML algorithm based on CP in being and its tracking performance are analyzed.
作为此估计法的实际应用，本文导出了所讨论模型的参数的驻点似然估计。
As its practice, the stationary point likelihood estimator of the present model is derived.
采用最大似然估计或最大后验概率准则，用估计值来取代前面等式中的真实值。
Either the maximum likelihood estimate or the maximum a posteriori estimate may be used in place of the exact value in the above equations.
文章首先建立了空时分组编码的系统模型，并且介绍了最大似然估计的理论。
This text establishes a model of space-time block code system at first, and also introduces the theory of maximum likelihood estimate.
对于该模型引进了对偶几何，在此基础上得到了拟似然估计的二阶渐近性质。
A dual geometry is introduced into the model. Some second-order asymptotic results of the quasi-likelihood estimate based on the dual geometry are obtained.
本文用极大拟似然估计法估计了中国银行间市场七天拆借利率扩散模型的参数。
Maximum pseudo-Likelihood method is used to estimate the coefficient functions in the diffusion of Single-Factor Interest Rate Models.
在获得了相应的数学模型后，对最小二乘估计和最大似然估计方法进行了比较。
After deriving the mathematical equations, a comparison between the LS and the ML estimators was performed.
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.
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.
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.
文中我们讨论了更新过程中分布参数的最大似然估计，证明了最大似然估计是强相合的。
The Maximum Likelihood Estimator (MLE) of the parameter of interarrival distribution based on renewal process is discussed. It is obtained that the MLE converges strongly to the true parameter.
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.
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