Documentation API of the 'cern.jet.random.Normal' Java class

Class Normal

  • All Implemented Interfaces:
    DoubleFunction, IntFunction, Serializable, Cloneable

    public class Normalextends AbstractContinousDistribution
    Normal (aka Gaussian) distribution; See the math definitionand animated definition.
                                                              1                       2          pdf(x) = ---------    exp( - (x-mean) / 2v )                            sqrt(2pi*v)                                                        x                                                         -                                   1        | |                 2          cdf(x) = ---------    |    exp( - (t-mean) / 2v ) dt                           sqrt(2pi*v)| |                                                   -                                                  -inf.
    where v = variance = standardDeviation^2.

    Instance methods operate on a user supplied uniform random number generator; they are unsynchronized.

    Static methods operate on a default uniform random number generator; they are synchronized.

    Implementation: Polar Box-Muller transformation. See G.E.P. Box, M.E. Muller (1958): A note on the generation of random normal deviates, Annals Math. Statist. 29, 610-611.

    See Also:
    Serialized Form

Warning: You cannot see the full API documentation of this class since the access to the DatMelt documentation for third-party Java classes is denied. Guests can only view jhplot Java API. To view the complete description of this class and its methods, please request the full DataMelt membership.

If you are already a full member, please login to the DataMelt member area before visiting this documentation.