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 class
LogLogisticDistribution.Par
Parameterization 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 double
cdf(double val)
Return the cumulative density function at the given value.static double
cdf(double val, double shape, double location, double scale)
Cumulative density function.double
getLocation()
Get the distribution location.double
getScale()
Get the distribution scale.double
getShape()
Get the distribution shape.double
logpdf(double val)
Return the log density of an existing valuestatic double
logpdf(double val, double shape, double location, double scale)
Probability density function.double
nextRandom(java.util.Random random)
Generate a new random valuedouble
pdf(double val)
Return the density of an existing valuestatic double
pdf(double val, double shape, double location, double scale)
Probability density function.double
quantile(double val)
Quantile aka probit (for normal) aka inverse CDF (invcdf, cdf^-1) function.static double
quantile(double val, double shape, double location, double scale)
Quantile function.java.lang.String
toString()
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:Distribution
Return the density of an existing value- Specified by:
pdf
in 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:Distribution
Return the log density of an existing value- Specified by:
logpdf
in 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:Distribution
Return the cumulative density function at the given value.- Specified by:
cdf
in 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:Distribution
Quantile aka probit (for normal) aka inverse CDF (invcdf, cdf^-1) function.- Specified by:
quantile
in 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:Distribution
Generate a new random value- Specified by:
nextRandom
in interfaceDistribution
- Parameters:
random
- Random number generator- Returns:
- new random value
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toString
public java.lang.String toString()
Description copied from interface:Distribution
Describe the distribution- Specified by:
toString
in interfaceDistribution
- Overrides:
toString
in classjava.lang.Object
- Returns:
- description
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