bivariate normal distribution

bivariate normal distribution的基本解释

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[计] 二元正态分布

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

The safety margin of every slice is assumed to be normal distribution and the safety margin of two next slices is bivariate normal distribution.

将滑动面上的土体按等弧长划分为n个土条，假设每个土条的安全余量服从正态分布，相邻两个土条的安全余量则服从二元正态分布，根据土条破坏传播的概率，计算土坡渐进破坏的概率以及土坡中裂缝开展长度的期望值，并对算例的结果进行了讨论。

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。

Bivariate normal distribution, multivariate normal distribution, bivariate Gumbel distribution, Gibbs sampler.

二元正态分布，多元正态分布，二元冈贝尔分布， Gibbs抽样。

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。

与bivariate normal distribution相关的网络解释 [注：此内容来源于网络，仅供参考]

Bivariate normal distribution：双变量正态分布

线性相关(linear correlation)又称简单相关(simple correlation),用于双变量正态分布(bivariate normal distribution)资料. 其性质可由散点图直观的说明. 1. 意义:相关(correlation coefficient)又称Pearson积差相关系数,用来说明具有直线关系的两变量间相关的密切程度与相关方向.

Bivariate normal distribution：二元正态分布

bivariate distribution 二元分布 | bivariate normal distribution 二元正态分布 | bivariate normal random variable 二元正态随机变量

Bivariate normal distribution：二元常態分配

Bivariate exponential distribution 二元指数分配 | Bivariate normal distribution 二元常态分配 | Bivariate normal random variable 二元常态随机变数

Bivariate normal distribution：双变量常态分配(布)

Bivariate frequency distribution 双变量次数分配(布) | Bivariate normal distribution 双变量常态分配(布) | Blend 混, 混合

singular bivariate normal distribution：奇异二元正态分布

singular automorphism 奇异自同构 | singular bivariate normal distribution 奇异二元正态分布 | singular boundary 奇异边界