stochastically independent event

Conditional regressive independence and conditional independence;

条件回归独立性与条件随机独立性

Conditional regressive independence and conditional independence;

条件回归独立性与条件随机独立性

Proofs of Some Propositions about Random Independence and Regressive Independence;

关于随机独立性和回归独立性的几个命题的证明

independent standard normal random variable

独立标准正态随机变量

RANDOM WALKS WITH RESTING STATE IN A INDEPENDENT RANDOM ENVIRONMENT ON THE LINE

直线上的独立随机环境中可逗留的随机游动

Separate Random Variable for Mutually Independent Distinction Method;

离散型随机变量相互独立的判别方法

Conditional independence of the discrete random variables and its properties

离散型随机变量的条件独立及其性质

Stochastic Comparison of Systems with Independent Pareto Components

独立Pareto元件构成系统的随机比较

Complete Convergence for Arrays of Rowwise Independemt Random Variables

行内独立随机变量组列的完全收敛性

This note is devoted to introduce the concept of dominated random sequence and give a weak law of large numbers for dependent random sequence.

引入受控随机序列的概念,给出了独立随机序列的一个弱大数定律.

Weak law of large numbers for the random variable sequences of un-independent and un-identical distribution;

非独立不同分布随机变量序列的弱大数定律

Comparison of Independence and Correlation Between Two Random Variables;

两个随机变量的独立性和相关性之比较

Applications of covariance matrices to mutualindependence of random variable;

协差阵在随机变量相互独立性中的应用

Complete Convergence for Arrays of Row Wise Independent Random Element in Banach Spaces;

行独立的B值随机元阵列的完全收敛性

Selection of Independent Alternatives with Random Cash Flows and Limited Total Investment Capitals

动态约束下随机资金有限独立方案的选择

each member of a pair of homologous chromosomes separates independently of the members of other pairs so the results are random.

一对对等染色体的各成分独立分离导致随机结果。

It derives several theorems associated with convergence properties of complex independent random variables.

得到与复值独立随机变量序列收敛性有关的几个定理。

Some results on the estimaticn of moments of the sum of independent random variables with symmetric distributions

关于对称型分布的随机变量独立和的矩的估计的几点结果

Stock price movement in different time is independent, and the performance is in stochastic condition.

不同时期股价的运动是独立的，表现为一种随机状态。

The Edgeworth Expansion for the Random Weighting Estimate of the Sample Variance--Not the Independent Identicaly Distribution Case

方差估计的随机加权分布的渐近展开——非独立同分布情形