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

Class HyperGeometric

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

    public class HyperGeometricextends AbstractDiscreteDistribution
    HyperGeometric distribution; See the math definition The hypergeometric distribution with parameters N, n and s is the probability distribution of the random variable X, whose value is the number of successes in a sample of n items from a population of size N that has s 'success' items and N - s 'failure' items.

    p(k) = C(s,k) * C(N-s,n-k) / C(N,n) where C(a,b) = a! / (b! * (a-b)!).

    valid for N >= 2, s,n <= N.

    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: High performance implementation. Patchwork Rejection/Inversion method.

    This is a port of hprsc.c from the C-RAND / WIN-RAND library. C-RAND's implementation, in turn, is based upon

    H. Zechner (1994): Efficient sampling from continuous and discrete unimodal distributions, Doctoral Dissertation, 156 pp., Technical University Graz, Austria.

    See Also:
    Serialized Form

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