A distribution function can be described by a density function: The probability that a specific value will occur. Non-uniform distributions are almost always computed starting with a uniform distribution. There are several different approaches. Sometimes one just applies a mathematical transformation. In other cases, more complex algorithms must be used.

Below are a few plots showing examples of non-uniform probability distributions often used in connection with RNGs.

## Uniform distribution |
## Normal (Gaussian) distribution |

## Exponential distribution |
## Gamma distribution |

## Poisson distribution |
## Binomial distribution |

Copyright © 2000 Per Kraulis $Date: 2000/12/04 12:16:07 $