Class RayleighDistribution
- java.lang.Object
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- elki.math.statistics.distribution.RayleighDistribution
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- All Implemented Interfaces:
Distribution
public class RayleighDistribution extends java.lang.Object implements Distribution
Rayleigh distribution, a special case of the Weibull distribution.- Since:
- 0.6.0
- Author:
- Erich Schubert
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classRayleighDistribution.ParParameterization class-
Nested classes/interfaces inherited from interface elki.math.statistics.distribution.Distribution
Distribution.Parameterizer
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Constructor Summary
Constructors Constructor Description RayleighDistribution(double sigma)Constructor.RayleighDistribution(double mu, double sigma)Constructor.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description doublecdf(double val)Return the cumulative density function at the given value.static doublecdf(double x, double sigma)CDF of Rayleigh distributiondoublegetMu()Get the position parameter.doublegetSigma()Get the scale parameter.doublelogpdf(double x)Return the log density of an existing valuestatic doublelogpdf(double x, double sigma)PDF of Rayleigh distributiondoublenextRandom(java.util.Random random)Generate a new random valuedoublepdf(double x)Return the density of an existing valuestatic doublepdf(double x, double sigma)PDF of Rayleigh distributiondoublequantile(double val)Quantile aka probit (for normal) aka inverse CDF (invcdf, cdf^-1) function.static doublequantile(double val, double sigma)Quantile function of Rayleigh distributionjava.lang.StringtoString()Describe the distribution
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Method Detail
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getMu
public double getMu()
Get the position parameter.- Returns:
- Position
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getSigma
public double getSigma()
Get the scale parameter.- Returns:
- scale
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pdf
public double pdf(double x)
Description copied from interface:DistributionReturn the density of an existing value- Specified by:
pdfin interfaceDistribution- Parameters:
x- existing value- Returns:
- distribution density
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pdf
public static double pdf(double x, double sigma)PDF of Rayleigh distribution- Parameters:
x- Valuesigma- Scale- Returns:
- PDF at position x.
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logpdf
public double logpdf(double x)
Description copied from interface:DistributionReturn the log density of an existing value- Specified by:
logpdfin interfaceDistribution- Parameters:
x- existing value- Returns:
- log distribution density
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logpdf
public static double logpdf(double x, double sigma)PDF of Rayleigh distribution- Parameters:
x- Valuesigma- Scale- Returns:
- PDF at position x.
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cdf
public double cdf(double val)
Description copied from interface:DistributionReturn the cumulative density function at the given value.- Specified by:
cdfin interfaceDistribution- Parameters:
val- existing value- Returns:
- cumulative density
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cdf
public static double cdf(double x, double sigma)CDF of Rayleigh distribution- Parameters:
x- Valuesigma- Scale parameter- Returns:
- CDF at position x.
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quantile
public double quantile(double val)
Description copied from interface:DistributionQuantile aka probit (for normal) aka inverse CDF (invcdf, cdf^-1) function.- Specified by:
quantilein interfaceDistribution- Parameters:
val- Quantile to find- Returns:
- Quantile position
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quantile
public static double quantile(double val, double sigma)Quantile function of Rayleigh distribution- Parameters:
val- Valuesigma- Scale parameter- Returns:
- Quantile function at position x.
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nextRandom
public double nextRandom(java.util.Random random)
Description copied from interface:DistributionGenerate a new random value- Specified by:
nextRandomin interfaceDistribution- Parameters:
random- Random number generator- Returns:
- new random value
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toString
public java.lang.String toString()
Description copied from interface:DistributionDescribe the distribution- Specified by:
toStringin interfaceDistribution- Overrides:
toStringin classjava.lang.Object- Returns:
- description
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