Package jdistlib

Class MultivariateHypergeometric

java.lang.Object
jdistlib.MultivariateHypergeometric
public final class MultivariateHypergeometric extends Object
Sampling without replacement from multiple population categories.

  • Method Summary

    Modifier and Type
    Method
    Description
    static double
    cumulative(int[] upper, int[] population, int draws)
    Exact lower-orthant probability P(X[i] <= upper[i], all i).
    static double
    density(int[] x, int[] population, int draws, boolean giveLog)
     
    static double
    probability(int[] lower, int[] upper, int[] population, int draws)
    Exact inclusive rectangle probability for the sampled category counts.
    static int[]
    random(int[] population, int draws, RandomEngine random)
     
    static int[][]
    random(int n, int[] population, int draws, RandomEngine random)
     

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Method Details

    • density

      public static double density(int[] x, int[] population, int draws, boolean giveLog)

    • probability

      public static double probability(int[] lower, int[] upper, int[] population, int draws)
      Exact inclusive rectangle probability for the sampled category counts.

    • cumulative

      public static double cumulative(int[] upper, int[] population, int draws)
      Exact lower-orthant probability P(X[i] <= upper[i], all i).

    • random

      public static int[] random(int[] population, int draws, RandomEngine random)

    • random

      public static int[][] random(int n, int[] population, int draws, RandomEngine random)