The Cornish-Fisher (C-F) expansion approximates the quantiles of an arbitrary continuous univariate distribution by using only the mean, variance, skewness, and excess kurtosis of the distribution. Intuitively, you can model the shape of many common probability distributions by using these four moment-based quantities. This article shows how to use SAS