Category:Cumulative distribution functions

A cumulative distribution function computes the probability that an outcome is less than or equal to the given value. Cumulative functions exist for both Continuous distributions and Discrete distributions. For continuous distributions, these are also sometimes called cumulative density functions and are equal to the area under the probability density curve lying to the left of the value in question.

These functions compute the cumulative probability analytically, without any Monte Carlo sampling error.

In Analytica 5.1 and before, most require you to add the Distribution Densities Library to your model to use these functions. As of Analytica 5.2, most are provided as built-in functions.