使用标准rand()函数从标准正态分布中提取随机数 [英] drawing random number from a standard normal distribution using the standard rand() functions

问题描述

因此，大多数编程语言都包含rand()功能，通过该功能，您可以生成0到1之间的随机数....

So most programming languages contain a rand() functionality whereby you can generate a random number between 0 to 1....

我的问题是，是否有一种方法可以操纵此标准rand()功能，从而使您能够从正态分布中提取具有均值和标准差的随机数?

My question is, is there a way to manipulate this standard rand() functionality such that you are able to instead draw a random number from normal distribution with a mean and standard deviation?

请注意，我不是在询问某种语言是否内置了正态分布功能，而是在询问您是否可以使用rand()函数模拟"绘制正态分布随机变量...

Notice that I'm not asking whether or not a language has a normal distribution functionality built in, I'm asking if you can "simulate" drawing a normal distribution random variable using a rand() function...

推荐答案

这是一种简单的工作方式(来自

Here is a simple way that works (from here):

    static Random r = new Random();
    static double Normal(double mu, double sig)
    {
        double u, v, x, y, q;
        do
        {
            u = r.NextDouble();
            v = 1.7156 * (r.NextDouble() - 0.5);
            x = u - 0.449871;
            y = Math.Abs(v) + 0.386595;
            q = Math.Sqrt(x) + y * (0.19600 * y - 0.25472 * x);
        } while (q > 0.27597 && (q > 0.27846 || Math.Sqrt(v) > -4.0 * Math.Log(u) * Math.Sqrt(u)));
        return mu + sig * v / u;
    }

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