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.
随机变量可以分为两种类型。
分析中随机变量取正态分布。
The random variables follow normal distribution in this analysis.
这是一个随机变量，在实际中不便使用。
This is a chance variable, and is not convenient to use in practice.
估计量是一个随机变量。
为了理解这一点，让我们定义以下随机变量：。
To understand this, let us define the following random variable:.
我们经常在金融学中假设随机变量，比如回报，是正态分布的。
We often assume in finance that random variables, such as returns, are normally distributed.
时间序列数据是以时间为指标的一个随机变量序列。
A time series data set is a sequence of random variables indexed by time.
金融学中我们常假设随机变量,例如收益率,是服从正态分布的
We often assume in finance that random variables, such as returns,are normally distributed.
时间序列数据是以时间为指标的一个随机变量序列。
然而，当利率是随机变量时，目前的研究成果并不多见。
However, when the interest rate being stochastic, these are not more.
然而，当利率是随机变量时，目前的研究成果并不多见。
However, when the interest rate being stochastic, these are not more.
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