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.
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.
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.
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.
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.
应用推荐