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covariance function相关的网络例句

查询词典 covariance function

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

The model\'s performance is acceptable in the prediction of error, auto-covariance function and Hurst effect.

在预测误差、自相关函数和自相似性等方面,该模型取得了较好的拟合效果。

The generalized influence function and generalized Cook distance were used to study local influence of observations on the parameter estimates in the growth curve model with uniform covariance structure.

利用广义影响函数和广义Cook统计量来研究具有均匀协方差结构的曲线增长模型的局部影响问题。

Generalized influence function ; generalized Cook distance ; growth curve model ; uniform covariance structure ; diagnostics

广义影响函数;广义Cook统计量;曲线增长模型;均匀协方差结构;诊断

Robust estimation, RLS Estimation, M estimation, Independent observations, Correlated observations, Function model, Random model, Outliers analysis, Outliers Confirmation, Outliers Disposal, Infectant Distribution, Equivalent weights, Equivalent variance-covariance

稳健估计,稳健最小二乘估计, M 估计,独立观测,相关观测,函数模型,随机模型,粗差分析,粗差定位,粗差处理,污染分布,等价权,等价方差-协方差

The one order differential model and convolutional model of impedance formula of amplitude versus offset inversion were established. Impedance inversion formula from AVO was derived based on Bayesian framework. Methods of using Huber function as prior model parameter distribution and covariance matrix from well log as constrains were developed. The P-wave impedance, S-wave impedance and density were calculated by the conjugate gradient algorithm.

为此建立了振幅随偏移距变化波阻抗反演公式的一阶差分模型及褶积模型,推导了基于贝叶斯理论的AVO波阻抗反演公式,给出了采用Huber分布作为模型参数的先验分布及测井数据的参数协方差矩阵作为约束条件的实现方法,并利用共轭梯度法计算了纵、横波阻抗及密度。

We will demonstrate the specification of reference prior distribution on the random covariance matrix. We will consider the approximate uniform shrinkage prior and approximate Jeffreys' prior. Both are formulated based on the approximated likelihood function. Under generalized linear mixed models, we show that the posterior mode under Jeffrey's prior is asymptotically closer to the REML estimate than the mode under uniform shrinkage prior does.

在广义线性混合模式下,我们证明了在样本数很大时,随机效应之变异数成份的后验众数和REML估计值会近似相等,同时也建立了后验众数和REML估计值的近似关系式,并提出了比较二种后验众数与REML估计值之间远近的准则。

This thesis mainly discuss following issues, Theory and simple expressions for array covariance matrixes are derived when angular spread functions are symmetric distribution functions, i. e. the Uniform distribution, the Gauss distribution, the Laplace distribution and the Von Mises distribution, and a non-symmetric distribution function, i. e. the Gamma distribution. And the relation between the effective signal subspace and the array number, or and the nominal angle of the distributed source, the angular spread, the distributed functions, and the Signal-to-Noise Ratio is gained. The dimension of the effective signal subspace increases with increment of the array number. And it is more obvious to the non-symmetric distribution. The dimension of the effective signal subspace decreases with increment of the nominal angle. And the distributed source is equal to a point source as θ=π/2. The dimension of the effective signal subspace increases with increment of the angular spread.

本论文针对阵列信号处理中广泛存在的分布源现象,主要讨论了以下问题:推导了角度分布函数分别为对称的均匀分布、高斯分布、拉普拉斯分布、Von Mises分布和非对称的伽马分布时,分布源阵列接收信号协方差阵的严格模型和简化模型,得到了单个分布源的有效信号子空间随阵元数、分布源中心角、分布角、角度分布函数和信噪比的变化规律:随着阵元数的增加,对所有角度分布函数的有效信号子空间维数也随着增加,且非对称分布函数的有效信号子空间充满整个空间的可能性更大;随着分布源中心角逐步增加,有效信号子空间维数逐步减小,当θ=π/2时,等价于点源情形;随着分布源分布角逐渐加大,有效信号子空间维数也随之增加,直到有效信号子空间充满整个空间;随着信噪比的增加,有效信号子空间维数有一定程度的减少。

The correlation between lung function and different measure index was compared with covariance analysis and partial correlation analysis.

选取马鞍山市部分初三毕业生进行人体测量和肺功能检测,利用协方差分析和偏相关性分析计算肺功能与不同测量指标的相关关系。

A reversible Markov process as a chemical polymerization model where a gelation transition exists is presented. The stationary distribution, partition function and expression of covariance of this model are obtained.

以存在凝胶化现象的高分子反应模型为背景,定义了高分子反应所对应的可逆Markov过程,给出了过程的稳定分布及配分函数,推导出了分子间协方差的表达式。

In this dissertation , the methods of prediction and parameters\' estimation based on stationary multivariate autoregressive models AR(p are studied systematically. Some properties of these methods are formulized.In the first part, it introduce some basal conceptions about multidimensional stationary time series, contained the estimation and property of mean vector and auto-covariance function. Then the stable condition of multidimensional AR models are discussed.

本文主要研究了多维平稳序列自回归模型AR的参数估计及其相关的统计性质,具体内容如下:第一部分,介绍了多维平稳时间序列及其均值向量和协方差阵函数的概念,并引入了多维AR模型及其数字特征,在此基础上给出了模型的平稳性条件。

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