对于有两个函数的模块，副文件与清单7相似。
For a module with two functions, it may look like Listing 7.
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。
An unbinned maximum likelihood method is used in the lifetime fit with event-by-event resolution functions.
在黎曼流形上分别给出了伪不变凸函数和弱向量似变分不等式的概念。
The definitions of pseudo-invex function and weak vector variation-like inequality on Riemannian manifolds are presented.
利用该模式函数对另一组NSCAT后向散射系数数据进行海面风场反演，采用最大似然估计确定多个风矢量解，并采用矢量中值滤波消除多解。
This model function is applied to NSCAT data to retrieve wind vectors, with the Maximum-Likelihood Estimator to get a set of ambiguous wind vectors and a vector filter technique to remove ambiguities.
在此基础上，得到了向量目标函数既是似凸又是拟凸的多目标最优化问题的G-恰当有效解集是连通的结论。
On the conditions that vector objective function is like-convex and quasi-convex, we obtain the connectedness of G-proper efficient solution set of the multiobjective optimization problem.
然后根据似然差函数和区域的形状的约束建立融合代价，使得所有可以融合的区域按照一定的顺序融合。
Then we construct merging cost according to the likelihood difference function and region shape constrains, and make regions to be merged with order.
本文把模糊义互熵和模糊似然函数的性质应用到模式聚类中从而为模式聚类增加了新一种方法；
In this paper, we according to fuzzy theory presented some property bout fuzzy alternation entropy and Similar function and a fuzzy technique about information classification.
本文通过使用向量似变分不等式和半预不变凸函数来证明约束向量优化的弱极小值的存在性。
In this paper, We prove the existence of a weak minimum for constrained vector optimization problem by making use of vector variational-like inequality and semi-preinvex functions.
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。
The objective function was established based on the maximum likelihood rule, which was solved by nonlinear conjugate gradient method.
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。
Base on the maximum likelihood algorithm, the algorithm divides an array into three subaperture and predigests the estimate function and reduces the compute quantity.
使用的最佳带幅宽有的依赖于探知函数，有的不依赖探知函数，还用到经典的最大似然估计法。
Some of optimal bandwidths used depends on detection function, some do not rely on detection function, still use classic ground Maximum Likelihood estimate.
但计算很是困难，原因就是删失数据后样本的似然函数的形式很复杂。
But it was difficult to calculate, because censored data in the form of samples of the likelihood function is very complex.
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。
A frequency domain adaptive maximum likelihood (ML) time delay estimation algorithm based on squared coherence function is proposed.
这一部分我们给出了本文中竞争风险混合模型的描述及分组数据下的似然函数。
In this paper, a kind of SAR image segmentation method based on the criterion of likelihood difference function is proposed.
本文着重讨论了在任意几何中心对称阵列条件下的最大似然方向估计函数的性质及其在信源真实方向上的微分特性。
The property and the differential characteristic of maximum likelihood direction-of-arrival estimation (MLE)function for every variety of centrosymmetric array are investigated in the paper.
贝叶斯推断中边际似然函数涉及到维数较高的复杂积分的计算，因而精确地计算边际似然函数往往有困难。
In Bayesian reference, marginal likelihood function involve to compute high dimensional complex integrand. So exactly to compute marginal likelihood is often difficult.
该模型采用ARMA模型描述实测流量的先验分布，采用AR模型模拟预报残差的似然函数，并假定先验分布和似然函数均服从正态分布。
The ARMA model was used to describe the prior distribution of observed discharge and the ar model was adopted to simulate the likelihood function of forecasting error.
根据多种先验分布与似然函数尾部特性的比较，给出了多源验前信息下先验分布的稳健融合方法。
By comparing the tail behavior of prior distributions and likelihood distribution, a robust fusion method of priors distribution in multi-sources prior information is given.
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.
该方法利用模糊似然函数对样本数据进行聚类，并使模糊模型的结构辨识和参数辨识能同时完成，从而实现模糊模型的在线辨识。
The proposed method can accomplish the structure identification and the parameter identification of the fuzzy model in the same time, and implements the on-line identification of the fuzzy model.
通过简化最大似然估计目标函数，提出了用自适应迭代法并结合宽窗口法来实现序列同步和序列估计。
By simplifying the objective function of maximum likelihood estimation, the algorithm can realize sequence synchronization and sequence estimation via adaptive iteration and wide window.
颜色直方图和边缘直方图一起构建目标观测似然函数。
Color histograms and edge histograms were used to model the object observations likelihoods function.
采用似然函数法对水稻矮生性的主基因和微基因的效应进行分析。
The likelihood method was applied to the genetic analysis of the effects of major dwarf genes and the variation due to polygenes.
这里我们得到了原始似然函数的下界，EM算法的核心就是通过最大化这个下界来最大化原始似然函数。
The main idea of EM is to maximize this lower bound so as to maximize the original (incompelte) likelihood.
与之前的算法进行对比，分析了最大似然函数法在定位精度、实现难易度、通用性等方面的特性。
We analysis maximum likelihood methods in positioning precision, ease of implementation, characteristics of the areas of commonality, compared with the previous algorithm.
最大化超参数的边缘对数似然函数求得权值参数的最优估计即待重建图像。
With maximizing the marginal likelihood function of hyper-parameters, the optimal weights are acquired, i. e. the reconstructed image.
实验证明采用伪似然估计方法构造目标函数在时间复杂度方面比采用似然估计方法要低很多。
And the experimental results show that the time complexity of pseudo-likelihood is much lower than likelihood approach.
因为似然比检验有着非常好的性质，特别是对大样本量问题，该方法求解出来的p值函数与真实p值函数非常逼近。
Because the likelihood ratio test has very good properties, especially for large sample size problem, the P-value function with this method is approached the true function.
似然比检验、秩相关分析、主成分分析等方法相继用于研究函数的最适模型和指标体系。
Likelihood ratio test, rank correlation analysis and principal component analysis were used to investigate the optimal model of function and the index system.
重点分析了将循环前缀与导频子载波的冗余信息相结合的算法，相应地对原有算法的似然函数也进行了改进。
The emphases is the improvement to the quondam algorithm, namely, the hybrid maximum-likelihood estimation algorithm based on the information of both CP and pilot subcarriers.
应用推荐