查询词典 likelihood

The proposed method is based on a higher order likelihood-based asymptotic procedure. The merits of the proposed method are numerically compared with the signed log-likelihood ratio statistic and the simple t-test method with respect to their expected lengths, coverage probabilities and type I errors.

我们所利用的方法是以概似函数为基础的高阶近似方法，并且我们利用模拟的方法去跟signed log-likelihood ratio及 simple t-test 两种方法比较所建构出的信赖区间的覆盖机率和平均宽度以及所对应检定的型I错误来检视我们所利用方法的优劣。

Based on the invariance of maximum likelihood estimation, the sufficient and necessary condition under which the maximum likelihood estimation has invariance for the parameters are given, then it uses this conclusion to calculate the maximum likelihood estimation of σ^2 and ρ for bivariate normal distribution.

根据参数极大似然估计不变性原则，给出在一定条件下极大似然估计具有不变性的充分必要条件，并利用该结论计算了二元正态分布Z=的未知参数σ^2和ρ的极大似然估计值。

The maximum likelihood function of the fatigue life was proposed based on the maximum likelihood principle, and it was born out that the maximum likelihood method could be used for the fatigue analysis.

基于极大似然原理，推导出关于疲劳寿命的极大似然函数，并证明了将极大似然方法用于疲劳分析的可行性。

Generalized linear models, which can model a large variety of data, have a wide area of application. The class of GLMs includes, as special cases, linear regression, analysis-of-variance models, log-linear models for the analysis of contingency tables, logistic models for binary data in the form of proportions and many others. Usually, the parameters in the generalized linear models are estimated by the method of maximum likelihood . But, in the literature, the nonrobustness of the maximum likelihood estimator forβhas been studied extensively. The quasi-likelihood estimator of the parameter of the generalized linear model shares the same non-robustness properties.

广义线性模型，可用于对多种类型的数据进行建模，是应用非常广泛的模型，线性回归模型、方差分析模型、用于列联表分析的对数线性模型和逻辑斯谛模型等都是广义线性模型的特例，通常，我们用极大似然的方法估计广义线性模型中的参数，但是，在文献中，对参数β的极大似然估计的非稳健性已经有了广泛的研究，广义线性模型的拟似然估计也显示了非稳健性。

Compared with the maximum likelihood estimation which is commonly used for type-I censored data in engineering, the presented method can reach a high precision by simple calculation, and the estimators show best unbiased property with small sample.

与目前工程中常用的极大似然估计(maximum likelihood estimation， MLE)方法相比，文中方法所得估计量不但在大样本而且在小样本情况下也具有最佳无偏性质，且计算简单、精度高，便于工程应用。

In consideration of endogeneity problems, we use the trivariate probit model which estimate three equations- employment, liver disease and drinking . Finally we used WESML (weighted exogeneous sampling maximum likelihood) method to correct the bias caused by choosing specific sample.

其中，我们考量了肝病与饮酒习惯分别对於就业的内生性问题，并且在trivariate probit模型中使用工具变数来得到一致性的估计结果，最后，我们利用WESML (weighted exogeneous sampling maximum likelihood)的估计方式来修正因为选取某特定样本，所造成估计结果缺乏代表性的问题。

In order to decrease the error rate of speech recognition, speaker adaptation techniques are often used to adjust speaker-dependent acoustic models. MLLR (Maximum Likelihood Linear Regression) and MAP are two of the most popular techniques in recent years. MLLR uses the technique of regression trees. It calculates the transform matrix for each leaf node of the tree. This makes it possible to use fewer sentences to decrease the error rate of HMM-based speech recognition. However, while we examined the recognition result, we found that although the overall error rate decreased, but the error rate of certain confusable phones was higher. In order to solve this problem, we propose the use MPE (Minimum Phone Error Discriminative Training) to solve this problem.

在语音辨识技术的实际应用上，语者调适技术常被用做调整语者无关之声学模型，使其对於特定语者之辨识率有所提升，常见的语者调适技术有最大化相似度线性回归（Maximum Likelihood Linear Regression），其精神在於透过对语音辨识模型相近的mixture做群聚，再对各个群聚做调整，以期能达到利用少量语料，提升辨识率的目的，但其缺点为，在发音上相近的模型，其mixture原本就极为近似，若再分类为同一群聚做调整，容易因为使用者的发音习惯，而使模型偏向ㄓ或ㄗ，因此虽然整体的辨识率获得提升，但却造成混淆音的错误率上升。

In addressing the heterogeneity factor, this paper will use Logistic regression, the Beta-binomial model the Williams method arid GLMM to analyze the secondary data collected at the incidence of Downy mildew on grapes and Phomopsis leaf blight on strawberrys. Also, there will he a thorough discussion on the advantages and disadvantages among the different model approaches according to -2 Res Log Likelihood, AIC, BIC and residual plots.

本研究旨在探讨病害发生率的研究中，以层次取样法进行抽样，并以实际资料葡萄露菌病和草莓叶枯病的病害发生率为例，藉由计算离势参数、-2 Res Log Likelihood、AIC、BIC和绘制残差图，比较逻辑斯回归、贝他－二项模式、威廉斯模式与广义线性混合模式四种模式对资料进行配适情形，来探讨这些方法克服过度离势的能力并比较其优劣。

In order to study the effect of using maximum likelihood method on parameter identification of supermini rotating aerial vehicle, recursive maximum likelihood method was used to identify parameters of the models control function of remotepiloted controlling for unmanned aerial vehicle,and the maximum likelihood identification was introduced.

为了研究采用极大似然法进行飞行参数辨识的效果，利用递推极大似然法对超小型旋翼飞行器遥操作仿真模型控制函数的参数进行了辨识，对极大似然辨识的结果进行了动态性能分析和系统相对稳定性分析，并将其和用传统的最小二乘辨识的结果进行了对比。

However, DAF requires the relay to have the likelihood-ratio distribution, typically modeled as a Gaussian mixture.

然而，解码放大转送模式的中继端需要知道Log-Likelihood Ratio的分布，一般被模拟成高斯混合。

The absorption and distribution of chromium were studied in ryeusing nutrient culture technique and pot experiment.

采用不同浓度K2CrO4(0，0.4，0.8和1.2 mmol/L)的Hoagland营养液处理黑麦幼苗，测定铬在黑麦体内的亚细胞分布、铬化学形态及不同部位的积累。

By analyzing theory foundation of mathematical morphology in the digital image processing, researching morphology arithmetic of the binary Image, discussing two basic forms for the least structure element: dilation and erosion.

通过分析数学形态学在图像中的理论基础，研究二值图像的形态分析算法，探讨最小结构元素的两种基本形态：膨胀和腐蚀；分析了数学形态学复杂算法的基本原理，把数学形态学的部分并行处理理念引入到家实际应用中。