Distribution (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

All Known Implementing Classes:

BetaDistribution, CauchyDistribution, ChiDistribution, ChiSquaredDistribution, ConstantDistribution, ExpGammaDistribution, ExponentialDistribution, ExponentiallyModifiedGaussianDistribution, GammaDistribution, GeneralizedExtremeValueDistribution, GeneralizedLogisticAlternateDistribution, GeneralizedLogisticDistribution, GeneralizedParetoDistribution, GumbelDistribution, HaltonUniformDistribution, InverseGaussianDistribution, KappaDistribution, LaplaceDistribution, LogGammaDistribution, LogisticDistribution, LogLogisticDistribution, LogNormalDistribution, NormalDistribution, PoissonDistribution, RayleighDistribution, SkewGeneralizedNormalDistribution, StudentsTDistribution, UniformDistribution, WeibullDistribution
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public interface Distribution
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Statistical distributions, with their common functions.

Since:

0.2

Author:

Erich Schubert

Nested Class Summary

Nested Classes
Modifier and Type Interface Description

static interface Distribution.Parameterizer
Common distributions parameters.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`double`	`cdf(double val)`	Return the cumulative density function at the given value.
`double`	`logpdf(double val)`	Return the log density of an existing value
`default double`	`nextRandom(java.util.Random random)`	Generate a new random value
`double`	`pdf(double val)`	Return the density of an existing value
`double`	`quantile(double val)`	Quantile aka probit (for normal) aka inverse CDF (invcdf, cdf^-1) function.
`java.lang.String`	`toString()`	Describe the distribution

- Method Detail
  - pdf
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double pdf(double val)
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    Return the density of an existing value
    
    Parameters:
    
    val - existing value
    
    Returns:
    
    distribution density
  - logpdf
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double logpdf(double val)
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    Return the log density of an existing value
    
    Parameters:
    
    val - existing value
    
    Returns:
    
    log distribution density
  - cdf
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double cdf(double val)
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    Return the cumulative density function at the given value.
    
    Parameters:
    
    val - existing value
    
    Returns:
    
    cumulative density
  - quantile
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double quantile(double val)
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    Quantile aka probit (for normal) aka inverse CDF (invcdf, cdf^-1) function.
    
    Parameters:
    
    val - Quantile to find
    
    Returns:
    
    Quantile position
  - nextRandom
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default double nextRandom(java.util.Random random)
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    Generate a new random value
    
    Parameters:
    
    random - Random number generator
    
    Returns:
    
    new random value
  - toString
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java.lang.String toString()
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    Describe the distribution
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    description