随机变量独立性的判别方法

归纳总结判别随机变量独立性的方法,并借助实例加以说明.     

随机变量独立性的直接判别法

二维离散随机变量相互独立的充要条件是其联合概率矩阵的秩为1;二维连续型随机变量相互独立的充要条件是其联合密度函数可分离变量．     

关于二维随机变量独立性问题的探讨

本文通过分析一个课后习题分析了两个随机变量不独立,但它们的平方独立的奇妙现象,发现两种不同类型的联合密度函数具有这种特性,给出了一个一般性的定理且进行了证明.最后,实例验证了此定理.     

随机变量独立性判别方法注记

给出了随机变量 X1 ,X2 ,X3相互独立的一个判定方法 .并将此方法中推广到更一般情形.     

随机变量独立性的一个注记

基于Lebesgue测度论,两个连续型随机变量相互独立的充要条件是:几乎处处有联合概率密度函数等于两个边缘概率密度函数的乘积.对两个随机变量来说,至少在一个非零测度集上,几乎处处有联合概率密度函数不等于两个边缘概率密度函数的乘积成立时,才能说两个随机变量不独立.     

二维连续型随机变量函数的独立性探讨

给出了一种根据二维随机变量(X,Y)的密度函数f(x,y),构造相互独立的随机变量函数U=u(X,Y)和V=v(X,Y)的方法,丰富随机变量独立性的理论,探索X和Y的内在联系.     

连续随机变量的随机独立性与回归独立性

回归独立性是指给定随机变量 X时 ,随机变量 Y的条件期望 E( Y|X)不依赖于 X.前人讨论了离散型随机变量回归独立性与随机独立性的关系 ,得到了二者等价的充分必要条件 .对连续型随机变量的情形加以讨论 ,获到了二者等价的几个充分必要条件 ,并说明在统计分析中的应用 .     

随机向量独立性判别准则及其应用

介绍了随机向量独立性的三种常用判别准则,提出了相应的数学法的建议。     

谈二维随机变量的函数的分布函数

设二维随机变量 (X,Y)的概率密度为 f (x,y) ,二维随机变量的函数是 U =U(x,y) ,则U的分布函数为FU(u) =P{ U≤ u} = Gf (x,y) dxdy,G:u(x,y)≤ u,(-∞ 0 .将此…     

Algebraic independence by approximation method

By the use of approximation method a general criterion of algebraic independence of complex numbers is established. As its application the algebraic independence of values of certain gap series at algebraic and transcendental points is given. Subject supported by the National Natural Science Foundation of China     

The problem of identification of parameters by the distribution of the maximum random variable

Suppose that X₁, X₂,…, X_n are independently distributed according to certain distributions. Does the distribution of the maximum of {X₁, X₂,…, X_n} uniquely determine their distributions? In the univariate case, a general theorem covering the case of Cauchy random variables is given here. Also given is an affirmative answer to the above question for general bivariate normal random variables with non-zero correlations. Bivariate normal random variables with nonnegative correlations were considered earlier in this context by T. W. Anderson and S. G. Ghurye.     

《概率论与数理统计》中有关独立性一反例的深入分析

独立性是《概率论与数理统计》是的一个非常重要的概念.教学中在说明随机变量函数独立性时会涉及许多反例.本文就有关随机变量函数独立性的一个反例作了进一步的推广分析.     

A note on random times

A generalisation of the notion of stopping time is stated, and related to similar generalisations introduced by Bahadur, Kemperman, Siegmund and others with a view to permitting auxilliary experimentation to enter into the definition of stopping rule. The main aim of this note is to draw attention to the conditional independence implicit in the definitions of these writers, and briefly indicate some consequences of this.     

Fuzzy periodic review system with fuzzy random variable demand

In this paper, a periodic review inventory system has been analyzed in a mixed imprecise and uncertain environment where fuzziness and randomness appear simultaneously. A model has been developed with customer demand assumed to be a fuzzy random variable. The lead-time has been assumed to be a constant. The lead-time demand and the lead-time plus one period’s demand have also been assumed to be fuzzy random variables. A methodology has been developed to determine the optimal inventory level and the optimal period of review such that the total expected annual cost in the fuzzy sense is minimized. A numerical example has been presented to illustrate the model.     

离散随机变量序列的强偏差定理

利用分析方法建立了用不等式表示的用对数似然比刻划的任意相依离散随机变量序列的强偏差定理,作为推论得到了更一般的离散随机变量序列加权和的强大数定律.     

概率论中的若干典型问题

总结了概率论中几个典型问题,并列举相关的例题加以佐证.