NegativeBinomial
cern.jet.random

Class NegativeBinomial

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


    public class NegativeBinomialextends AbstractDiscreteDistribution
    Negative Binomial distribution; See the math definition.

    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. Compound method.

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

    J.H. Ahrens, U. Dieter (1974): Computer methods for sampling from gamma, beta, Poisson and binomial distributions, Computing 12, 223--246.

    See Also:
    Serialized Form
    • Constructor Detail

      • NegativeBinomial

        public NegativeBinomial(int n,                double p,                RandomEngine randomGenerator)
        Constructs a Negative Binomial distribution. Example: n=1, p=0.5.
        Parameters:
        n - the number of trials.
        p - the probability of success.
        randomGenerator - a uniform random number generator.
    • Method Detail

      • cdf

        public double cdf(int k)
        Returns the cumulative distribution function.
      • clone

        public Object clone()
        Returns a deep copy of the receiver; the copy will produce identical sequences. After this call has returned, the copy and the receiver have equal but separate state.
        Overrides:
        clone in class AbstractDistribution
        Returns:
        a copy of the receiver.
      • nextInt

        public int nextInt(int n,          double p)
        Returns a random number from the distribution; bypasses the internal state.
      • pdf

        public double pdf(int k)
        Returns the probability distribution function.
      • setNandP

        public void setNandP(int n,            double p)
        Sets the parameters number of trials and the probability of success.
        Parameters:
        n - the number of trials
        p - the probability of success.
      • staticNextInt

        public static int staticNextInt(int n,                double p)
        Returns a random number from the distribution with the given parameters n and p.
        Parameters:
        n - the number of trials
        p - the probability of success.
      • toString

        public String toString()
        Returns a String representation of the receiver.
        Overrides:
        toString in class Object

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