Class LogLogisticDistribution
- java.lang.Object
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- elki.math.statistics.distribution.LogLogisticDistribution
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- All Implemented Interfaces:
Distribution
@Alias({"fisk","loglog"}) public class LogLogisticDistribution extends java.lang.Object implements Distribution
Log-Logistic distribution also known as Fisk distribution.- Since:
- 0.6.0
- Author:
- Erich Schubert
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classLogLogisticDistribution.ParParameterization class-
Nested classes/interfaces inherited from interface elki.math.statistics.distribution.Distribution
Distribution.Parameterizer
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Constructor Summary
Constructors Constructor Description LogLogisticDistribution(double shape, double location, double scale)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 val, double shape, double location, double scale)Cumulative density function.doublegetLocation()Get the distribution location.doublegetScale()Get the distribution scale.doublegetShape()Get the distribution shape.doublelogpdf(double val)Return the log density of an existing valuestatic doublelogpdf(double val, double shape, double location, double scale)Probability density function.doublenextRandom(java.util.Random random)Generate a new random valuedoublepdf(double val)Return the density of an existing valuestatic doublepdf(double val, double shape, double location, double scale)Probability density function.doublequantile(double val)Quantile aka probit (for normal) aka inverse CDF (invcdf, cdf^-1) function.static doublequantile(double val, double shape, double location, double scale)Quantile function.java.lang.StringtoString()Describe the distribution
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Method Detail
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getShape
public double getShape()
Get the distribution shape.- Returns:
- Shape parameter
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getLocation
public double getLocation()
Get the distribution location.- Returns:
- Location parameter
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getScale
public double getScale()
Get the distribution scale.- Returns:
- Scale parameter
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pdf
public double pdf(double val)
Description copied from interface:DistributionReturn the density of an existing value- Specified by:
pdfin interfaceDistribution- Parameters:
val- existing value- Returns:
- distribution density
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pdf
public static double pdf(double val, double shape, double location, double scale)Probability density function.- Parameters:
val- Valueshape- Shapelocation- TODOscale- Scale- Returns:
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logpdf
public double logpdf(double val)
Description copied from interface:DistributionReturn the log density of an existing value- Specified by:
logpdfin interfaceDistribution- Parameters:
val- existing value- Returns:
- log distribution density
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logpdf
public static double logpdf(double val, double shape, double location, double scale)Probability density function.- Parameters:
val- Valueshape- Shapelocation- Locationscale- Scale- Returns:
- logPDF
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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 val, double shape, double location, double scale)Cumulative density function.- Parameters:
val- Valueshape- Shapelocation- Locationscale- Scale- Returns:
- CDF
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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 shape, double location, double scale)Quantile function.- Parameters:
val- Valueshape- Shapelocation- TODOscale- Scale- Returns:
- Quantile
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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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