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).
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.
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.
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.
针对瑞利分布，在全样本场合下给出了参数的矩估计、极大似然估计和区间估计。
For the Rayleigh distribution, the moment estimate; the maximum likelihood estimate and the interval estimate of the parameter are given based on the full sample.
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.
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.
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.
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.
第四章讨论了序贯指数模型的极大似然估计的强相合性和渐近正态性，并进行了证明。
In Chapter 4, we discuss and prove the consistency and asymptotic normality of maximum likelihood estimate to the exponential models.
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.
本文考虑了二项分布的可靠性增长模型，给出了各研制阶段参数的约束极大似然估计。
In this paper, reliability growth model for binomial distribution is considered, and the constrained MLE of parameter for each development stage are given.
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.
处理生存分析观测数据使用的参数估计方法有很多，极大似然估计法是最常见的一种估计方法。
There are many methods to deal with measuring data in survival analysis. Maximum likelihood estimation is the most popular one.
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.
并且证明了在正态分布的假设下，该总体平均因果效应的极大似然估计是相合无偏且渐近正态的。
The maximum likelihood estimator for population average treatment effect is proved to be consistent, unbiased and asymptotically normal.
该模型定义在不同语义关系之上，基于极大似然估计法利用语义距离来对语义关系进行参数估计。
The model is based on different semantic relationships, and is estimated according to maximum likelihood estimation. Semantic distance is used to estimate semantic relationships in estimating period.
我们正式通过指定这个直觉的网页浏览行为模型，然后推导的极大似然估计一个用户的社会形象。
We formalize this intuition by specifying a model of web browsing behavior and then deriving the maximum likelihood estimate of a user's social profile.
我们正式通过指定这个直觉的网页浏览行为模型，然后推导的极大似然估计一个用户的社会形象。
We formalize this intuition by specifying a model of web browsing behavior and then deriving the maximum likelihood estimate of a user's social profile.
应用推荐