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Moro Inverse cumulative normal distribution class

Given x between zero and one as the integral value of a gaussian normal distribution this class provides the value y such that formula here ...

It uses Beasly and Springer approximation, with an improved approximation for the tails. See Boris Moro, "The Full Monte", 1995, Risk Magazine.

This class can also be used to generate a gaussian normal distribution from a uniform distribution. This is especially useful when a gaussian normal distribution is generated from a low discrepancy uniform distribution: in this case the traditional Box-Muller approach and its variants would not preserve the sequence's low-discrepancy.

Peter J. Acklam's approximation is better and is available as InverseCumulativeNormal

Hierarchy

  • MoroInverseCumulativeNormal

Implements

Index

Constructors

Properties

Methods

Constructors

constructor

Properties

Private _average

_average: Real = 0

Private _sigma

_sigma: Real = 1

Methods

f

  • Parameters

    Returns Real