本文论述了离散型随机变量的次序统计量的分布律及其有关推论。
In this paper, we study the distribution law of order statistic of discrete type random variable.
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.
介绍了用离散型随机变量的二项分布函数从试题库随机选题的数学模型。
This paper introduces the mathematical model for dynamically choosing questions from the question database by using binary distributed function with random variables.
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.
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. Therefore, we obtain two theorems.
剖析了凡是对离散型随机变量使用边际分析法的。实际上都已改变了原来的离散型前提。
The paper analyses the fact that the original discrete premise is actually changed in the situation that the marginal analytic method is used towards the discrete random variable.
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.
讨论了在一个时期内商品的订购价格有折扣，而且该商品的需求量是离散型随机变量的订购问题，得出了使利润最大化的最佳订购量的计算方法。
In a given period the seasonal goods can be ordered at a discount price, and the demand for the goods is an issue of discrete random variable.
本文对离散型f—随机变量给出了一种严格的数学定义，由此引出了F—马尔可夫链，并证明了切普曼—哥尔莫哥洛夫方程仍成立。
This paper gives a strict mathematical definition for discrete's mode of f-random variable. It follows f-markovian chain and pro ves that the equation of chapman-holds.
分析当多元随机变量协方差阵正定时，各随机分量应满足的关系，并结合多项分布研究离散型与连续型样本协方差阵的不同。
And studying the difference of positive defined matrix of discrete and continuous sample by using of mal-distribution and the relationship among weights.
分析当多元随机变量协方差阵正定时，各随机分量应满足的关系，并结合多项分布研究离散型与连续型样本协方差阵的不同。
And studying the difference of positive defined matrix of discrete and continuous sample by using of mal-distribution and the relationship among weights.
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