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covariance相关的网络例句

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

Because Traditional mean vector and covariance matrix are not robust estimator, this dissertation combines ideas of robust statistics with multivariable analysis method from robust statistics aspect.

所以,本文从稳健统计的角度出发,把稳健统计的思想加入到多变量统计分析方法中。

In Chapter 1, we introduce some theories and methods about the estimation of regression coefficient and do some preparations including some theories in the mean vector, the covariance matrix, the quadratic form of random vector, matrix derivative.

第1章概括介绍线性回归模型回归系数估计的一些理论和方法,并给出均值向量与协方差阵、随机向量的二次型、矩阵微商等预备知识。

It describes the heteroskedasticity character of interest rate by projecting the sample data onto the EGARCH (1, 1) auxiliary model, makes making the covariance matrix as moment conditions and uses EMM to estimate the parameters. EMM avoids the disadvantage of infeasible or computationally intensive of maximum likelihood functions.

通过将观测数据映射成EGARCH(1, 1)辅助模型描述利率行为的异方差特征,以协方差矩阵为矩条件,用有效矩估计方法得出模型参数,避免了最大似然估计法似然函数不可知或难以求积分的缺陷。

The conclusions of this thesis are: The Exponentially Weighted Moving Average approaches of Variance-Covariance method is better than Historical simulation method and Monte-Carlo simulation method.

可见在给予近期历史资料较重的权重,在某种程度上,反映出波动群聚性与随时间而改变的现象,近期市场上的任何冲击将快速的反应在波动性的估计值上。

The proposed method first uses common subtractive clustering locating method to acquire video object position and moving object number of each frame. Then, the proposed algorithm uses fuzzy C-means clustering algorithm to further cluster the moving object foreground pixel samples. Finally, matrix analysis theory for calculating eigenvalues and eigenvectors of covariance matrix is applied to compute the object scale and orientation parameters.

该算法在减法聚类算法预定位目标位置及获得目标个数的基础上,进一步采用模糊C均值聚类对目标前景样本进行归类,最后通过对目标前景样本协方差矩阵特征值和特征向量的分析获得目标的尺度及方向参数,从而实现对视频运动目标的定位。

And giving the way to own the biggest coefficient in an inferior expansion; The third is that showing the mathematic expectation for multinomial distribution, covariance matrix, characteristic function as well as generating function; Finally, introducing some application instances about gaining maximum value and some simple applications of multinomial distribution in reality.

并且给出了M项N次多项展开式中最大系数的求法;3。介绍多项分布的数学期望、协方差阵、特征函数以及母函数;最后,介绍多项分布最大值求法的应用事例以及多项分布在实际中的简单应用。

Multivariate analysis of variance, covariance, and regression.

检验和置信区间,多元方差分析,协方差和回归。

The sample proportion has mean and variance and (3.7) In Section 14.1.4 we show that for , and have covariance (3.8) The sample proportions have a large-sample multivariate normal distribution.

样品比例有手段和变化并且(3.7)在部分14.1.4 我们显示那为,和有协变性(3.8)样品比例有大样品多维分布的正常分配。

For the clutter power slowly changed environment—range-dependent nonhomogeneity,the weighting covariance matrix estimation algorithm is proposed which is based on the relative distance criterion.

针对杂波功率依距离缓变的非均匀环境,提出了基于相对距离准则的加权协方差矩阵估计算法。

Space-Time Adaptive Processing is a key technology for moving target detection, but nonhomogeneity will cause the covariance matrix estimation error, which substantially results in the STAP performance degradation.

摘要空时自适应处理作为动目标检测的关键技术,但是非均匀环境将会造成协方差矩阵的估计误差,进而严重影响STAP性能。

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