因而，关于随机变量的独立性的研究构成了概率的重要课题。
So it is the important subject in probability to study the independence of stochastic variable.
本文证明了由两随机变量的独立性可推出它们的不相关性，但逆命题不成立。
In this paper, it is proved that two random variables' independence can infer their no-correlation and its untenable inverse proposition.
然后引入了模糊概率随机变量的独立性，给出了离散型模糊概率随机变量的数学期望性质的证明。
Then the independence of random variables with fuzzy probability (RVFP) was introduced, with the characters of mathematical expectation of discrete RVFP proved.
利用离散型随机变量的联合分布矩阵，得到了离散型随机变量独立性的一种判别方法，并用实例给出了一定的应用。
Making use of the joint distribution matrix of discrete random variables, we get a kind of judgement method about the independence of discrete random variables, give its application by example.
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.
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.
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