fr.cnes.sirius.patrius.math.distribution

Class CauchyDistribution

java.lang.Object

fr.cnes.sirius.patrius.math.distribution.AbstractRealDistribution

fr.cnes.sirius.patrius.math.distribution.CauchyDistribution

All Implemented Interfaces:

RealDistribution, Serializable

public class CauchyDistribution
extends AbstractRealDistribution

Implementation of the Cauchy distribution.

Since:

1.1 (changed to concrete class in 3.0)

Version:

$Id: CauchyDistribution.java 18108 2017-10-04 06:45:27Z bignon $

See Also:

Cauchy distribution (Wikipedia), Cauchy Distribution (MathWorld), Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static double	DEFAULT_INVERSE_ABSOLUTE_ACCURACY Default inverse cumulative probability accuracy.

Fields inherited from class fr.cnes.sirius.patrius.math.distribution.AbstractRealDistribution

random, SOLVER_DEFAULT_ABSOLUTE_ACCURACY

Constructor Summary

Constructors

Constructor and Description
CauchyDistribution() Creates a Cauchy distribution with the median equal to zero and scale equal to one.
CauchyDistribution(double medianIn, double scaleIn) Creates a Cauchy distribution using the given median and scale.
CauchyDistribution(double medianIn, double scaleIn, double inverseCumAccuracy) Creates a Cauchy distribution using the given median and scale.
CauchyDistribution(RandomGenerator rng, double medianIn, double scaleIn, double inverseCumAccuracy) Creates a Cauchy distribution.

Method Summary

Modifier and Type	Method and Description
double	cumulativeProbability(double x) For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
double	density(double x) Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
double	getMedian() Access the median.
double	getNumericalMean() Use this method to get the numerical value of the mean of this distribution.
double	getNumericalVariance() Use this method to get the numerical value of the variance of this distribution.
double	getScale() Access the scale parameter.
protected double	getSolverAbsoluteAccuracy() Returns the solver absolute accuracy for inverse cumulative computation.
double	getSupportLowerBound() Access the lower bound of the support.
double	getSupportUpperBound() Access the upper bound of the support.
double	inverseCumulativeProbability(double p) The default implementation returns RealDistribution.getSupportLowerBound() for p = 0, RealDistribution.getSupportUpperBound() for p = 1.
boolean	isSupportConnected() Use this method to get information about whether the support is connected, i.e. whether all values between the lower and upper bound of the support are included in the support.
boolean	isSupportLowerBoundInclusive() Returns true if support contains lower bound.
boolean	isSupportUpperBoundInclusive() Returns true if support contains upper bound.

Methods inherited from class fr.cnes.sirius.patrius.math.distribution.AbstractRealDistribution

probability, probability, reseedRandomGenerator, sample, sample

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

DEFAULT_INVERSE_ABSOLUTE_ACCURACY

public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY

Default inverse cumulative probability accuracy.

Since:

2.1

See Also:

Constant Field Values

Constructor Detail

CauchyDistribution

public CauchyDistribution()

Creates a Cauchy distribution with the median equal to zero and scale equal to one.

CauchyDistribution

public CauchyDistribution(double medianIn,
                          double scaleIn)

Creates a Cauchy distribution using the given median and scale.

Parameters:

medianIn - Median for this distribution.

scaleIn - Scale parameter for this distribution.

CauchyDistribution

public CauchyDistribution(double medianIn,
                          double scaleIn,
                          double inverseCumAccuracy)

Creates a Cauchy distribution using the given median and scale.

Parameters:

medianIn - Median for this distribution.

scaleIn - Scale parameter for this distribution.

inverseCumAccuracy - Maximum absolute error in inverse cumulative probability estimates (defaults to DEFAULT_INVERSE_ABSOLUTE_ACCURACY).

Throws:

NotStrictlyPositiveException - if scale <= 0.

Since:

2.1

CauchyDistribution

public CauchyDistribution(RandomGenerator rng,
                          double medianIn,
                          double scaleIn,
                          double inverseCumAccuracy)

Creates a Cauchy distribution.

Parameters:

rng - Random number generator.

medianIn - Median for this distribution.

scaleIn - Scale parameter for this distribution.

inverseCumAccuracy - Maximum absolute error in inverse cumulative probability estimates (defaults to DEFAULT_INVERSE_ABSOLUTE_ACCURACY).

Throws:

NotStrictlyPositiveException - if scale <= 0.

Since:

3.1

Method Detail

cumulativeProbability

public double cumulativeProbability(double x)

For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). In other words, this method represents the (cumulative) distribution function (CDF) for this distribution.

Parameters:

x - the point at which the CDF is evaluated

Returns:

the probability that a random variable with this distribution takes a value less than or equal to x

getMedian

public double getMedian()

Access the median.

Returns:

the median for this distribution.

getScale

public double getScale()

Access the scale parameter.

Returns:

the scale parameter for this distribution.

density

public double density(double x)

Returns the probability density function (PDF) of this distribution evaluated at the specified point x. In general, the PDF is the derivative of the CDF. If the derivative does not exist at x, then an appropriate replacement should be returned, e.g. Double.POSITIVE_INFINITY, Double.NaN, or the limit inferior or limit superior of the difference quotient.

Parameters:

x - the point at which the PDF is evaluated

Returns:

the value of the probability density function at point x

inverseCumulativeProbability

public double inverseCumulativeProbability(double p)

The default implementation returns

• RealDistribution.getSupportLowerBound() for p = 0,
• RealDistribution.getSupportUpperBound() for p = 1.

Returns Double.NEGATIVE_INFINITY when p == 0 and Double.POSITIVE_INFINITY when p == 1.

Specified by:

inverseCumulativeProbability in interface RealDistribution

Overrides:

inverseCumulativeProbability in class AbstractRealDistribution

Parameters:

p - the cumulative probability

Returns:

the smallest p-quantile of this distribution (largest 0-quantile for p = 0)

getSolverAbsoluteAccuracy

protected double getSolverAbsoluteAccuracy()

Returns the solver absolute accuracy for inverse cumulative computation. You can override this method in order to use a Brent solver with an absolute accuracy different from the default.

Overrides:

getSolverAbsoluteAccuracy in class AbstractRealDistribution

Returns:

the maximum absolute error in inverse cumulative probability estimates

getNumericalMean

public double getNumericalMean()

Use this method to get the numerical value of the mean of this distribution. The mean is always undefined no matter the parameters.

Returns:

mean (always Double.NaN)

getNumericalVariance

public double getNumericalVariance()

Use this method to get the numerical value of the variance of this distribution. The variance is always undefined no matter the parameters.

Returns:

variance (always Double.NaN)

getSupportLowerBound

public double getSupportLowerBound()

Access the lower bound of the support. This method must return the same value as inverseCumulativeProbability(0). In other words, this method must return

inf {x in R | P(X <= x) > 0}.

The lower bound of the support is always negative infinity no matter the parameters.

Returns:

lower bound of the support (always Double.NEGATIVE_INFINITY)

getSupportUpperBound

public double getSupportUpperBound()

Access the upper bound of the support. This method must return the same value as inverseCumulativeProbability(1). In other words, this method must return

inf {x in R | P(X <= x) = 1}.

The upper bound of the support is always positive infinity no matter the parameters.

Returns:

upper bound of the support (always Double.POSITIVE_INFINITY)

isSupportLowerBoundInclusive

public boolean isSupportLowerBoundInclusive()

Returns true if support contains lower bound.

Returns:

false

isSupportUpperBoundInclusive

public boolean isSupportUpperBoundInclusive()

Returns true if support contains upper bound.

Returns:

false

isSupportConnected

public boolean isSupportConnected()

Use this method to get information about whether the support is connected, i.e. whether all values between the lower and upper bound of the support are included in the support. The support of this distribution is connected.

Returns:

true