Class ChengBetaSampler.ChengBCBetaSampler

java.lang.Object
org.apache.commons.rng.sampling.distribution.ChengBetaSampler.BaseChengBetaSampler
org.apache.commons.rng.sampling.distribution.ChengBetaSampler.ChengBCBetaSampler
All Implemented Interfaces:
ContinuousSampler, SharedStateContinuousSampler, SharedStateSampler<SharedStateContinuousSampler>
Enclosing class:
ChengBetaSampler

private static final class ChengBetaSampler.ChengBCBetaSampler extends ChengBetaSampler.BaseChengBetaSampler
Computes one sample using Cheng's BC algorithm, when at least one of beta distribution alpha or beta shape parameters is smaller than 1.
  • Field Details

    • ONE_HALF

      private static final double ONE_HALF
      1/2.
      See Also:
    • ONE_QUARTER

      private static final double ONE_QUARTER
      1/4.
      See Also:
    • beta

      private final double beta
      The algorithm beta factor. This is not the beta distribution beta shape parameter.
    • delta

      private final double delta
      The algorithm delta factor.
    • k1

      private final double k1
      The algorithm k1 factor.
    • k2

      private final double k2
      The algorithm k2 factor.
  • Constructor Details

    • ChengBCBetaSampler

      ChengBCBetaSampler(UniformRandomProvider rng, boolean aIsAlphaShape, double a, double b)
      Parameters:
      rng - Generator of uniformly distributed random numbers.
      aIsAlphaShape - true if a is the beta distribution alpha shape parameter.
      a - max(alpha, beta) shape parameter.
      b - min(alpha, beta) shape parameter.
    • ChengBCBetaSampler

      private ChengBCBetaSampler(UniformRandomProvider rng, ChengBetaSampler.ChengBCBetaSampler source)
      Parameters:
      rng - Generator of uniformly distributed random numbers.
      source - Source to copy.
  • Method Details

    • sample

      public double sample()
      Description copied from interface: ContinuousSampler
      Creates a double sample.
      Returns:
      a sample.
    • withUniformRandomProvider

      public SharedStateContinuousSampler withUniformRandomProvider(UniformRandomProvider rng)
      Description copied from interface: SharedStateSampler
      Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.
      Parameters:
      rng - Generator of uniformly distributed random numbers.
      Returns:
      the sampler