The Johnson distribution is a four-parameter family of probability distributions first investigated by N. L. Johnson in 1949. It is closely related to the normal distribution.
Let U be a random variable that is uniformly distributed on the unit interval [0, 1]. Johnson random variables can be generated from U as follows:
where Φ is the cumulative distribution function of the normal distribution.