Class BinomialDistribution

java.lang.Object
org.episteme.core.mathematics.statistics.DiscreteDistribution
org.episteme.core.mathematics.statistics.distributions.BinomialDistribution
All Implemented Interfaces:
Function<Real,Real>, ContinuousFunction<Real,Real>, Function<Real,Real>, Relation<Real,Real>, ProbabilityDistribution
public class BinomialDistribution extends DiscreteDistribution
Binomial distribution Bin(n, p).
Since:
1.0
Author:
Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

  • Constructor Details

    • BinomialDistribution

      public BinomialDistribution(int n, Real p)

  • Method Details

    • density

      public Real density(Real k)
      Description copied from interface: ProbabilityDistribution
      Probability density function (PDF) or probability mass function (PMF). f(x) = dP/dx for continuous, P(X = x) for discrete.
      Parameters:
      k - the value to evaluate density at
      Returns:
      the probability density or mass

    • mean

      public Real mean()
      Description copied from interface: ProbabilityDistribution
      Returns the mean (expected value) of this distribution.
      Returns:
      the mean

    • variance

      public Real variance()
      Description copied from interface: ProbabilityDistribution
      Returns the variance of this distribution.
      Returns:
      the variance

    • toString

      public String toString()
      Overrides:
      toString in class Object