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The Johnson distribution is a four-parameter family of probability distributions first investigated by N. L. Johnson in 1949.[1] It is closely related to the normal distribution.

Generation of random variables

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.

References

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  1. Johnson, N. L. (1949) Systems of frequency curves generated by methods of translation. Biometrika 36: 149–176 Glazier Alfonzo from Chicoutimi, has lots of interests which include lawn darts, property developers house for sale in singapore singapore and cigar smoking. During the last year has made a journey to Cultural Landscape and Archaeological Remains of the Bamiyan Valley.