查询词典 sample covariance

Events,Operation and Relation of Sets, Classical Probability, Geometrical Probability , Statistical Stability of a Frequency, Axioms of Probability, Conditional Probability, Total Probability Theorem, Bayes' Rule,Independent Events,Independent Repeated Trials, One Dimensional Random Variables, Discrete Random Variables, Distribution Function of a Random Variables , Continuous Random Variables, Normal Distribution, Distribution of a Function of a Random Variable, Multidimensional Random Variables, Joint Distribution Function, Marginal Distribution Function,Discrete Two—Dimensional Random Variables,Continuous Two—Dimensional Random Variables, Independent Random Variables, Distribution of Functions of Random Variables,Expectation,Variance, Covariance, Coefficient of Correlation, Bivariate Normal Distribution, Law of Large Numbers, The Central Limit Theorems, Sample and Population ,Chi—Squared, T and F Distributions , Sampling Distributions , Point Estimation , Interval Estimation , Testing Hypotheses , A Test of Significance for Parameters in a Single Sample From a Normally Distributed Population , A Test of Significance for Parameters in Two Sample From Normally Distributed Populations .

本课程的主要内容：概率的概念与运算、随机变量及其分布、随机变量的数字特征与极限定理、数理统计的基本概念、估计和检验的基本方法，随机事件与概率随机事件、事件的关系与运算、几何概率、统计概率等，条件概率、全概率公式、贝叶斯公式、事件的独立性、二项概率公式，随机变量的概念、离散型随机变量、随机变量的分布函数、连续型随机变量、随机变量函数的分布，多维随机变量及其分布函数、边缘分布函数、随机变量的独立性、二维随机变量函数的分布，数学期望、方差、协方差和相关系数、大数定律、中心极限定理，总体与样本， X 2-分布、 t-分布和 F-分布，统计量及抽样分布，假设检验的基本概念、单个正态总体参数的显著性检验、两个正态总体参数的显著性检验。

Studying the positive definitiveness of the covariance matrix from discrete data is important to design the sampling plan and provides the base for the data analysis.However, there have been few outcomes about the positive definitiveness of covariance matrix, most of which have been restricted to the Covariance-matrix of continuous sample.

研究离散型样本协方差矩阵的正定性有助于判断是否可以降低样本的维数，有利于优化抽样个数，为抽样调查的优化设计方案提供一定的理论基础；为基于特征根的多元统计分析提供理论指导。

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。

In functional optical imaging,the very low SNR makes the sample covariance matrix have singularity,which brings the whitening the operation of the ICA denoising method to reduce the dimensionality,so the ICA denoising method will lost the signal detection ability.

在光学功能成像中，极低信噪比会使得样本协方差矩阵具有奇异性，因此导致Emir等人提出的ICA去噪方法在白化预处理过程会出现降维现象，最终使得该方法无法检测出信号。

A new approach-two dimensional principal component analysis(2DPCA) is developed for face recognition. 2DPCA approach dont need to transform the image matrix into feature vector. It directly uses the image matrix to construct the sample covariance matrix.

5研究了二维主成分分析(2DPCA)方法，2DPCA方法不需要先将图像矩阵展开成一维向量，而是直接利用图像矩阵来构建样本协方差矩阵，所以2DPCA比PCA的识别时间更短，识别更高。

The spatial nulling is implicitly achieved by estimating a sample covariance matrix and feeding its inverse into the extended Kalman filter. Computer simulations demonstrate robust performance of the algorithm in severe jamming.

针对多元天线接收机，提出了空时自适应信号处理算法，建立基于EKF自适应滤波技术的抗干扰模型，分析表明：在J／S即干扰／信号为60dB时，能较好的抑制窄带和宽带干扰作用。

In this paper, we get the distribution of the Bartletts decomposition of sample covariance matrices.

而把协方差矩阵当作相同的来处理，又会带来偏差。

The sample covariance between each independent variable and the OSL residuals is zero.

每个自变量和OLS协残差之间的样本协方差为零。

In contrast,the theory of large dimensional random matrices,especially,that of the large sample covariance matrices become a very significant and powerful mathematical topic.

因此大维随机矩阵理论，尤其协方差矩阵相关性质的研究就成为非常重要且迫切需要解决的课题。

The improved criteria on the constraint conditions of kernel functions in our results should also provide a better understanding of the asymptotic properties of the ESD of large dimensional sample covariance matrices.

具我们结果中核函数的限制的改进准则，可以对大维样本协方差矩阵的经验谱分布的渐近性质有一个更进一步的理解。

And Pharaoh spoke to Joseph, saying, Your father and your brothers have come to you.

47：5 法老对约瑟说，你父亲和你弟兄们到你这里来了。

Additionally, the approximate flattening of surface strip using lines linking midpoints on perpendicular lines between geodesic curves and the unconditional extreme value method are discussed.

提出了用测地线方程、曲面上两点间短程线来计算膜结构曲面测地线的方法，同时，采用测地线间垂线的中点连线和用无约束极值法进行空间条状曲面近似展开的分析。