随机变量的独立性 [数] Independence of random variable
随机变量的数值特征 Numerical Feature of Random Variable
离散型随机变量的分布 Discrete probability distribution
连续型随机变量的分布 Continuous probability distribution
随机变量的众数 mode of random variables
随机变量的期望值 [统计] expected value of random variables
随机变量的矩 moment of random variable
离散型随机变量的方差 Variance of discrete random variable
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.
是x的连续型随机变量的概率分布。
随机变量的方差衡量随机变量值与期望值偏离的程度。
The variance of a random variable measures how far from the expected value its values typically are.
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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