**'cern.jet.random.HyperGeometric'**Java class

cern.jet.random

## Class HyperGeometric

- java.lang.Object
- cern.colt.PersistentObject
- cern.jet.random.AbstractDistribution
- cern.jet.random.AbstractDiscreteDistribution
- cern.jet.random.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 uponH. Zechner (1994): Efficient sampling from continuous and discrete unimodal distributions, Doctoral Dissertation, 156 pp., Technical University Graz, Austria.

- 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.