[SerializableAttribute]
public class JohnsonDistribution : ProbabilityDistribution, 
	IRandomVariableMoments

<SerializableAttribute> _
Public Class JohnsonDistribution _
	Inherits ProbabilityDistribution _
	Implements IRandomVariableMoments

[SerializableAttribute]
public ref class JohnsonDistribution : public ProbabilityDistribution, 
	IRandomVariableMoments

The Johnson system is:

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z = gamma + delta * log(f(u)), where u = (x - xi) / lambda

where the transformation f() has four possible forms based on the distribution type:

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Normal (SN): f(u) = exp(u)
Log Normal (SL): f(u) = u
Unbounded (SU):    f(u) = u + sqrt(1+u^2)
Bounded (SB):    f(u) = u/(1-u)

Use the Fit() method to fit a JohnsonDistribution to data, and the Transform() method to transform data using a distribution object.

System..::.Object
  CenterSpace.NMath.Stats..::.ProbabilityDistribution
    CenterSpace.NMath.Stats..::.JohnsonDistribution