... Probability distribution 概率分布 Discrete random variable 离散的随机变量 Continuous random variable 连续的随机变量 ...
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并以此对离散随机制造系统总加工时间的随机变量性质进行讨论。
The random variable properties of total work time in the discrete stochastic manufacture systems are discussed.
并且将它推广到任意具有可数无限分布列的离散型随机变量和随机向量。
That could be extended to all discrete random variable and vector with the infinited countable distribution series.
本文研究了离散型随机变量次序统计量的分布矩阵的对称性,获得了二个定理。
In this paper, we study the symmetry on distribution matrix of order statistic of discrete type random variable.
But they're accountable and we can list all possible values when they're discrete and form a probability weighted average of the outcomes.
但随机变量是离散的话,我们可以把所有的可能值列出来,然后算出加权平均值
That's different when you have continuous values-- you don't have P because it's always zero.
和离散型随机变量的分布不同的是,连续型随机变量的分布中,某一点的概率值始终是零
You have discrete random variables, like the one I just defined, or there are also--which take on only a finite number of values-- and we have continuous random variables that can take on any number of values along a continuum.
就像刚定义的,是一个离散型随机变量,随机变量还可以有无限种取值,也就是连续型随机变量,随机变量可以取某一区间的一切值
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