All right, we were down here, and I was saying, let's try a larger, introduce a bias.
好了,我们在这儿,我刚才说,让我们试试一个比较大的偏差值。
And then I could also do a Gaussian one here, with the mean of and the standard deviation of volatility divided by 2.
然后我在这里再写一个高斯分布的函数,它的浮动值的平均值和,标准偏差值都除了2。
We could also feel pretty comfortable that that's probably way too high a bias, right?
另外因为这个偏差值很高,所以结果才这么高?
It could be normal, everything, that would be a Gaussian, where if you recall there was a mean, and a standard deviation, and most values were going to be close to the mean.
可能是正态分布,也就是高斯分布,只要有平均值和标准偏差值,你就可以进行调用,大部分的值都是集中在平均值附近的。
If there's a large standard deviation it would be spread.
如果标准偏差值很大,那么它就比较分散。
Let's go back to where, a simpler bias here.
我们回到这里,一个简单的偏差值。
Especially if there is a small standard deviation.
特别是当标准偏差值很小的情况。
应用推荐