查询词典 bivariate distribution

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。

Therefore a new spatial adaptive wavelet thresholding method is presented, which is based on a non-Gaussian bivariate distribution and context modeling for image denoising that is inspired by image coding.

为了更好地进行MR 图像分割处理，本文提出了一种新的空间自适应小波阀值去噪算法，该算法是基于非高斯二元分布的贝叶斯统计模型和上下文模型。

The statistics of the contourlet coefficients of natural images in detail and model contourlet coefficients using non-Gaussian bivariate distribution that captures their interscale dependencies are studied.

详细分析了图像contourlet系数的统计特性，并利用非高斯双变量分布对系数层间相关性进行建模。

Then a bivariate Weibull distribution model, non-fatal shock mixture model, has been established to determine the reliability life distribution of the complex system with dependent components. And a synthetical approach has been suggested to estimate the parameters of the distribution model.

在总结分析复杂设备特点及其维修方式的基础上，从可靠性、维修性、监测性和经济性角度分析了影响维修决策的因素，建立了复杂设备各重要功能单元重要度评估指标体系，为维修方式决策提供了可靠依据。

It is obvious to see that bivariate copulas is a very useful tool for constructing bivariate distributions, especially when the marginal distributions are given of the same type of distribution such as bivariate exponential distribution and bivariate gamma distribution.

由回顾知道，经由二元机率合函数以建立二元分布是一项很有用的工具，尤其是边际分布为特定分布时，如边际分布为同类型时之二元指数、二元迦玛等等。

To summarize two-dimensional non-normal joint distribution in use, such as Bivariate Weibull Distribution, Bivariate Log-normal Distribution, Bivariate Gumbel Distribution, and Bivariate Gamma Distribution.

归纳总结了已经出现的非正态二维联合概率分布模型，如二维威布尔分布、二维对数正态分布、二维冈贝尔分布及二维伽玛分布等。

Conventionally, a negative dependence structure is not allowed in bivariate poisson models, and it restricts the univariate marginal distributions has to be the same family as the bivariate joint distribution, On the contrary, copulas allow negative dependence structure and marginal distributions and bivariate distributions of different families .

相较之下Copula允许有负相关，且Copula是一个能将双变量的联合分配函数与各自的边际分配连接在一起的函数。

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。

Consider the dependencies between the coefficients and their parents, a non-Gaussian bivariate distribution is given, and corresponding nonlinear threshold function is derived from the model using Bayesian estimation theory. According to non-subsampled Contourlet transform and bivariate threshold function, a novel Non-Subsampled Contourlet Transform based on Bivariate threshold function for image denoising is proposed. This scheme achieves enhanced estimation results for images that are corrupted with additive Gaussian noise over a wide range of noise variance.

该文依据非下采样Contourlet分解系数与其父系数之间的相关性，给出非高斯双变量分布，对该模型应用Bayes估值理论推导得到相应的非线性双变量阈值函数，综合非下采样Contourlet分解和双变量阈值函数，提出一种基于双变量阈值的非下采样Contourlet变换图像去噪方法。

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。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。