英语释义

1. a statistical method for estimating population parameters (such as the mean and variance) from sample data that selects as estimates those parameter values maximizing the probability of obtaining the observed data

片语

Maximum-Likelihood Statistics最大似然统计学

Maximum Composite Likelihood最大组成似

Maximum-Likelihood Sequence最大似然序列

maximum simulation likelihood method极大化模拟似然估计值

maximum-likelihood criterion最大似然準则

maximum-likelihood algorithm最大似然算法

maximum m likelihood method最大相似法

maximum penalized likelihood estimator最大惩罚似然估计

英汉例句

• Methods Based on the theory of renewal process the maximum likelihood estimators of parameters of the former are given.

  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。

• 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。

• Using maximum likelihood criterion in clustering algorithms, the clusters have spherical or ellipsoidal receptive fields and match the distributes of patterns better.

  采用最大似然準则的聚类算法其类别接受域为球形或椭球形，可以与模式的分布匹配更好。

• According to the selected scheme an equation is constituted for the observation. Identification algorithm for the nonlinear dynamic system, is deduced following the maximum likelihood principle.

  然后根据选定的量测方案建立观测方程，并按极大似然原理导出非线性动力学系统的参数辨识算法。

• 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。

• According to maximum likelihood theory, it fuses random samples coming from different matrix (same mean different variance) in an effective way, and gains a nwe estimator of matrix mean.

  该方法依据极大似然原理将来自不同母体(均值相同、方差不同)的随机样本有效融合，得到新的母体均值估计量。

• The latter since include maximum likelihood estimate of the GPD(generalized Pareto distribution ) model parameters to still include moment estimate etc.

  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 prediction of remaining life and the optimal renewal time of wire rope are given according to the principal of maximum likelihood estimation.

  依据极大似然估计原理，给出了钢丝绳寿命预测方法和钢丝绳最佳更换期。

• This conclusion explains the key element of the MLD, and also points out that maximum likelihood deconvolution has a very high solid property feature.

  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。

• The tendency check, goodness of fit check, maximum likelihood estimates (MLE) of the parameters and MTBF for AMSAA model are presented.

  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。

• 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.

  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。

• And then a method called system input reconstruction for estimating dynamic system「s time lags and an algorithm based on maximum likelihood estimation for extracting the time lags are presented.

  然后就动态系统未知时延参数的估计问题提出了重构系统输入的估计方法，并以极大似然估计迭代算法为基础给出了一套估计动态系统时延参数的算法。

• 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。

• Base on the maximum likelihood algorithm, the algorithm divides an array into three subaperture and predigests the estimate function and reduces the compute quantity.

  此算法基于极大似然算法将等距线阵均分为三个子孔径，从而简化了估计函数，也使计算量大大减少。

• 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。

• 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。

• 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。

• And the accuracy rate of a classification network is explained as the maximum likelihood estimation of the generalization ability.

  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；

• 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。

• The implementation of maximum likelihood estimation method to the nonlinear continuous ?discrete systems and application to aerodynamic parameter identification for vehicle are studied.

  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。

• 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準算法。

• 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。

• 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準则，用估计值来取代前面等式中的真实值。