随机变量(random variable)表示随机试验各种结果的实值单值函数。随机事件不论与数量是否直接有关,都可以数量化,即都能用数量化的方式表达。 随机事件数量化的好处是可以用数学分析的方法来研究随机现象。例如某一时间内公共汽车站等车乘客人数,电话交换台在一定时间内收到的呼叫次数,灯泡的寿命等等,都是随机变量的实例。
一、定义随机变量( random variable)是定义在一随机试验所有可能结果上的数值函数,对于侮一个试验结果,就有随机变量的一个值与其对应,某一试验结果对应的概率相应...
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... stochastic variable分层抽样 sum of cross products of随机变量 deviation from mean离均差积和 ...
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连续随机变量 [计] continuous random variable ; continuous variable ; continuous ; random variable continuous
离散随机变量 [数] discrete random variable ; discrete stochastic variable
离散型随机变量 Discrete Random Variable ; discontinuous variable ; Discrete Type Random Variable ; diskrete Zufallsvariable
指数分布随机变量 exponential random variable
随机变量函数 [数] function of random variable ; Random Variable Functions
相依随机变量 dependent stochastic variable
不相关随机变量 [数] uncorrelated random variables
多维随机变量 multiple random variables ; multi-dimensional random variable ; Multivariate random variable
连续型随机变量 Continuous random variables ; kontinuierliche Zufallsvariable ; absolutely continuous random variable ; random variables of continuous type
In the former two situations, the exit time is assumed to be a random variable and in the last situation the exit time is assumed to be a stochastic process.
对前两种情形考虑退出时间是个随机变量,对最后一种情形考虑退出时间是个随机过程。
参考来源 - MIn the reliability analysis and design of structures,it is unreasonable to describe all the uncertain parameters as stochastic variables when the probabilistic distribution characteristic for some of them is unavailable and only their variation bounds are known.
在结构可靠性分析和设计中,往往无法将所有不确定性参数均作为概率随机变量,存在部分不确定性分布特征不明确而仅知其扰动界限的情况。
参考来源 - 随机·2,447,543篇论文数据,部分数据来源于NoteExpress
随机变量的加权平均值是期望值。
The weighted mean of the random variable is the expected value.
随机变量是一个根据概率分布取值的函数。
A random variable is a function that takes values based on a probability distribution.
在数学术语中,不完全确定的值称为随机变量。
In mathematical terms, values that are not known with complete certainty are called random variables.
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
This refers to random variables that have fat-tailed distributions-- random variables that occasionally give you really big outcomes.
这就表示,服从长尾分布的随机变量,这些数据出现极端值的概率比较大
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
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