正态变量

正态变量之商及其在环境因子分析中的应用

The quotient of normal variable and its application in analysis of enviroment factors

文章给出：在一定条件下，满足上述两个性质的随机变量是正态变量。

This paper puts forward to : Under the specific condition , the random variable that can satisfy the above two natures is the normal variable .

正态变量R型因子分析信息提取及找矿意义

The information abstract and prospective significance of normal factor analysis of R type

在进行差异显著性检验时，如果样本数n较大，则组成百分率可用标准正态变量μ检验。

For statistical test of a difference between two constituent ratios , if the number of samples is large enough , one can use the standard normal distribution variable μ test .

对于计算中各随机变量相应设计点的变动过程，特别是非正态变量在验算点处的当量正态化，用AutoCAD中VISUALLISP语言编制了相应的显示程序，部分实现了计算过程的可视化。

Utilizing Visual LISP in AutoCAD , a program was developed to illustrate the updating of design points , especially normalization of non-Gauss distributed random variables at checking points , so part of the iteration procedure can be visualized .

矩阵正态变量均值二次型阵的估计

Estimation of the quadratic form matrix of matrix normal varible mean

非正态变量下结构可靠性的概率积分方法

Probabilistic Integration of Structural Reliability with Non normal Distributed Variables

几类正态变量函数的独立性

Independence about Some Kinds of Functions of Normal Variables

随机潮流中正态变量线性变换不变性定理应用的研究

Study on the Application of the Linear Transformation Invariance of Normal Variables in Probabilistic Load Flow

正态变量和的分布及正态集的线性闭包

The Distribution of Sum of Normal Random Variables and Linear Closure of Set of Normal Random Variables

首先采用等概率变换原则将非正态变量等效为标准正态变量。

Firstly , the isoprobabilistic transformation is adopted to transform the non-normal variables into the standard normal ones .

提出了分析相关非正态变量可靠度问题一种新的全局优化方法&认知聚类分区方法。

A new global optimization reliability method , knowledge-based clustered partitioning method ( KCP ) for reliability problems involving correlated non-normal random variables , is proposed .

结果表明：提出的认知聚类分区方法能够有效地分析含有相关非正态变量的边坡可靠度问题。

Finally , an example of reliability analysis for rock slope stability with plane failure is presented to demonstrate the validity and capability of the proposed method .

方法以正态变量的联合分布为理论依据，在医学统计中的假设检验和计算相应方差的基础上进行两类权重系数的整合。

Methods According to the theory of combination distribution of normal variable the two kinds of , weights were combined after hypothesis testing and calculation of variances .

所得到的随机展开式由曲率立体阵以及相互独立的正态变量表出，因而计算方法简洁易行。

The stochastic expansions given here depend only on the independent normal random variables and curvature arrays , therefore they are easy to understand and to deal with .

本文考虑了更一般的矩阵正态变量均值二次型阵在二次损失下的判决估计问题，找出了优于其无偏估计的一类线性和非线性估计，推广了文的主要结果。

In this paper , more generally , we consider general form of estimation of the quadratic form matrix of matrix normal variable mean under quadratic loss in decision-theoretic approch , and find out linear and nonlinear estimators which dominate their unbiased estimators , generalize the main results of paper .

F&正态随机变量及Laplace定理

F - Positive Random Variable and Laplace Theory

这是与众多金融工程师和研究人员的默认常识有悖的！我们基于Box-Muller方法的放射层次结构假设了一个替代算法，用以对正态随机变量分类，这对于VAR估计同样是有效的。

We propose an alternative algorithm , based on radial stratification of Box-Muller method to sample the normal random variables , which is effective in VAR estimation .

经过这些比较后，本文在第四章选择Box-Muller法来对均匀分布随机数进行标准正态分布变量的抽样。

After these comparisons , in the fourth chapter , the Box-Muller method will be chosen to sample the standard normal variables of the uniformly distributed random numbers .

关于正态随机变量的线性组合分布

On the distribution of linear combinations of normally distributed random variables

一种具有正态随机变量的多属性决策方法

Method for multiple attribute decision making with normal random variables

非正态随机变量的可靠性评价方法研究

Study on Reliability Analysis of Non-normal Random Variables

非正态随机变量的结构可靠度分析

Structural Reliability Analysis for Non normal Random Variables

正态随机变量设计和数值试验

Normal Random Variable Design and Numerical Test

多维正态随机变量的几个性质

Some Properties of Multidimensional Normal Random Variables

产生相关正态分布变量的一种新方法

New Algorithm for Generating Correlated Normal Variables

独立标准正态随机变量

Independent standard normal random variable

压缩应力及压缩强度均为正态随机变量，其概率密度函数服从正态分布。

Both the compress stress and compress intensity are normal random variable , and the probability density function is obey the normal school .

对于多元正态随机变量二次型的独立性的证明，最重要的是证明一个引理。

It is very important to prove a lemma for the proof of the independence between two quadratic forms of multivariate normal variables .

用近似解析法求解正态随机变量、线性安全边界方程情况下可靠度的置信区间

Using approximate analytic method to solve the confidence belt of reliability of linear safety margin equation with random variables of the normal distribution