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likelihood相关的网络例句

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与 likelihood 相关的网络例句 [注:此内容来源于网络,仅供参考]

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。

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。

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。

L? Participator is the responsibility person in handling measure individually, the likelihood is a person, also may be branch of a certain function, returning a likelihood is the equipment of a certain automation; L?

l? 参与者是各个处理步骤中的责任人,可能是人,也可能是某个职能部门,还可能是某个自动化的设备; l?

The site that there are a lot of kinds now exists at any time by the possibility of K, for example: Belle picture kind, pornography kind, illicit take kind, lottery kind, gamble kind wait for a likelihood to be involved break the law, the site that hitting edge ball suggests to be not exchanged with them, if their site by K, you not know the inside story, at any time likelihood by complicity.

现在有很多类型的站点都存在随时被K的可能性,例如:美女图片类,色情类,私服类,彩票类,赌博类等可能涉及到违法,打着擦边球的站点建议不要去和他们交换,如果他们的站点被K,你们又不知情,随时可能被连累。

Avoid potential dangerous sex: The site that there are a lot of kinds now exists at any time by the possibility of K, for example: Belle picture kind, pornography kind, illicit take kind, lottery kind, gamble kind wait for a likelihood to be involved break the law, the site that hitting edge ball suggests to be not exchanged with them, if their site by K, you not know the inside story, at any time likelihood by complicity.

避免潜在的危险性:现在有很多类型的站点都存在随时被K的可能性,例如:美女图片类,色情类,私服类,彩票类,赌博类等可能涉及到违法,打着擦边球的站点建议不要去和他们交换,如果他们的站点被K,你们又不知情,随时可能被连累。

First, a method for calculating semantic likelihood between two phrase is carried out. then use the likelihood to determine the title row or column of the table, the correlation between titles and fields is determined at the same time. base title of the table, a simply method is presented which can be used to calculate correlativity between this table and what we wanted to extract.

首先提出了一种短语语义相似度的度量方法,然后利用短语语义的相似度确定表格标题行,并对表格行与抽取字段的对应关系进行计算,最后计算表格的整体语义,度量该表格与所要抽取的内容有多大相关度。

Likelihood inference will be developed using the exponential family of distributions. Extensions to quasi-likelihood methods will also be discussed, which allow the relaxation of some model assumptions.

运用指数族分布发展似然推断,还将讨论允许放松一些模型假设的准似然方法的扩展。

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