Either the maximum likelihood estimate or the maximum a posteriori estimate may be used in place of the exact value in the above equations.
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。
We often estimate the return model parameter by ordinary least squares and maximum likelihood.
对回归模型进行参数估计时，常用的两种重要方法是普通最小二乘法和最大似然法。
Also the frequency offset was estimated based on maximum likelihood (ML) principle.
然后利用最大似然原则得到频偏估计。
And then the model parameters are estimated by means of MLE (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。
A novel speaker adaptation method named maximum likelihood model interpolation (MLMI) is proposed.
本文提出了一种新的说话人自适应算法———最大似然模型插值。
An unbinned maximum likelihood method is used in the lifetime fit with event-by-event resolution functions.
不分道的最大似然拟合方法和逐事例相关的分辨函数在时间拟合中被采用。
The marginal densities of single-factor interest rate models can be obtained by 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。
Six proposed models were assessed using the maximum likelihood estimation, which is implemented by LISREL 8.3.
六个假设模式以最大概似法来加以检定评估，所使用的电脑软体为LISREL 8.3。
In this paper, we consider properties of the parameter's maximum likelihood estimations based on ranked set samples.
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。
The distribution parameters have been estimated with either the maximum likelihood method or a modified moment method.
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。
We describe the maximum likelihood parameter estimation problem and how the em algorithm can be used for its solution.
描述最大似然参数估计问题，介绍如何用EM算法求解最大似然参数估计。
An maximum likelihood registration algorithm based on earth-centered earth-fixed (ECEF) coordinate system is presented.
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。
The model parameters were estimated by a maximum likelihood algorithm, which maximizes the likelihood of the observed data.
采用最大似然估计算法，对模型中的隐含参数进行了估计。
A model and an algorithm were provided for constructing phylogenetic tree based on the principle of maximum likelihood estimate.
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。
The first is the full information maximum likelihood method with linear constraint of coefficient matrixes in structure equation.
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。
A frequency domain adaptive maximum likelihood (ML) time delay estimation algorithm based on squared coherence function is proposed.
提出了一种基于平方相干函数的频域自适应最大似然时延估计算法。
The objective function was established based on the maximum likelihood rule, which was solved by nonlinear conjugate gradient method.
该方法利用最大似然准则建立目标函数，同时利用非线性共轭梯度法来优化求解目标函数。
This text establishes a model of space-time block code system at first, and also introduces the theory of maximum likelihood estimate.
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。
In order to improve the classification accuracy of hyperspectral images, a fuzzy maximum likelihood classification method is proposed.
为了提高超谱图像分类的精度，提出了模糊最大似然分类算法。
After several iterations, the maximum likelihood estimation and compensation of the TPC of the target can be realized more effectively.
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。
In comparison with the maximum likelihood classification by field survey data, the classification precision of this model heightens 16%.
结合实地调查数据与最大似然分类算法进行对比实验，表明该模型比最大似然总体分类精度高16%。
The parameters of Fisher distribution model are estimated by maximum likelihood, and the model is finally verified by using Pearson test.
利用所提出的快速聚类分析方法及其推导的计算公式，可以方便地求解费歇尔分布的参数。
The computer simulation shows that the decoder can achieve maximum likelihood decoding in the environmemts of additive white Gaussian noise.
计算机模拟表明，在加性高斯噪声下，使用该神经网络可以达到最大似然译码。
Conclusion the maximum likelihood method based on MCECM algorithm can be used to estimate the parameters of non-linear factor analysis model.
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。
In this paper, proposed is the informax fast algorithm of ICA using information maximum likelihood estimation with the Newton iterate algorithm.
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 the practice projects, the precision of maximum likelihood estimation of Weibull shape parameter is quantitatively provided by the conclusion.
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。
The maximum likelihood estimators(MLE) of means and standard deviations, and the asymptotic distribution of likelihood ratio statistic were given.
给出了正态总体均值和标准差的最大似然估计（M LE），似然比检验统计量及其渐近分布等结果。
It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example.
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。
The frequency domain maximum likelihood method is a very efficient method, the advantages of which are simple in computing, un biased and consistent.
频域极大似然法则是一种有效的方法，它具有频域计算简单，同时估计又是渐进无偏和一致的优点。
The frequency domain maximum likelihood method is a very efficient method, the advantages of which are simple in computing, un biased and consistent.
频域极大似然法则是一种有效的方法，它具有频域计算简单，同时估计又是渐进无偏和一致的优点。
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