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汉语拼音：suí jī biàn liàng

概率论的基本概念。描述随机现象某一侧面的数量。如同一台机器生产一种规格的螺钉，其直径大小就是一个随机变量。随机变量分为离散型和连续型两类。

• The joint distribution of random variables can totally tell us the distribution of its components and the dependence relation between them.

  随机变量的联合分布完全决定了其各个分量的分布以及相依关系。

• Allocate random positions within a rectangle according to a pair of random variables. More. . .

  在根据一项对随机变量对矩形分配的随机位置。

• We begin with the case of a single random variable, after which generalization to the multivariate case is simple.

  我们以一个单随机变量的例子引入，然后归纳出多随机变量的例子就会变得简单。

• A strong limit theorem for the weighted sum of discrete random sequences is gotten by the method of net differentiability .

  利用网微分法，给出了离散型随机变量序列加权和的一个极限定理。

• Structural reliability considering multiple random variables was evaluated for a Jack-up platform by the presented approach.

  最后以某自升式平台为工程对象，进行了考虑多个随机变量的结构可靠性评估。

• Some strong limit theorems for the sequence of arbitrary random sequence are discussed by means of martingale method.

  采用鞅方法研究对任意随机变量序列普遍成立的强极限定理。

• Mathematical expectation is one of the important digital features of random variable.

  数学期望是随机变量的重要数字特征之一。

• The variance of a random variable measures how far from the expected value its values typically are.

  随机变量的方差衡量随机变量值与期望值偏离的程度。

• Expectations, or expected values, are simply probabilistic averages of random variables(or functions of variables)in an experiment.

  期望，或者期望值，就是实验中随机变量的可能平均值。