Computationally simple Pseudo-Gaussian Distribution with varying mean and standard deviation?
- by mstksg
This picture from wikipedia has a nice example of the sort of functions I'd ideally like to generate
http://en.wikipedia.org/wiki/File:Normal_Distribution_PDF.svg
Right now I'm using the Irwin-Hall Distribution, which is more or less a Polynomial approximation of the Gaussian distribution...basically, you use uniform random number generator and iterate it x times, and take the average. The more iterations, the more like a Gaussian Distribution it is.
It's pretty nice; however I'd like to be able to have one where I can vary the mean. For example, let's say I wanted a number between the range 0 and 10, but around 7. Like, the mean (if I repeated this function multiple times) would turn out to be 7, but the actual range is 0-10.
Is there one I should look up, or should I work on doing some fancy maths with standard Gaussian Distributions?
