Package adams.data.distribution

Class Exponential

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.data.distribution.AbstractRealDistribution

adams.data.distribution.Exponential

All Implemented Interfaces:

Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, Serializable

public class Exponential
extends AbstractRealDistribution

Exponential distribution.

Version:

$Revision$

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

ExponentialDistribution, Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected double	m_InverseCumAccuracy	the inverse cumulative accuracy.
protected double	m_Mean	the mean.

Fields inherited from class adams.data.distribution.AbstractRealDistribution

m_Distribution

Fields inherited from class adams.core.option.AbstractOptionHandler

m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
Exponential()

Method Summary

Modifier and Type	Method	Description
void	defineOptions()	Adds options to the internal list of options.
double	getInverseCumAccuracy()	Returns the inverse cumulative accuracy.
double	getMean()	Returns the mean.
org.apache.commons.math3.distribution.RealDistribution	getRealDistribution()	Returns the configured distribution.
String	globalInfo()	Returns a string describing the object.
String	inverseCumAccuracyTipText()	Returns the tip text for this property.
String	meanTipText()	Returns the tip text for this property.
void	setInverseCumAccuracy(double value)	Sets the inverse cumulative accuracy.
void	setMean(double value)	Sets the mean.

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Field Detail

m_Mean

protected double m_Mean

the mean.

m_InverseCumAccuracy

protected double m_InverseCumAccuracy

the inverse cumulative accuracy.

Constructor Detail

Exponential

public Exponential()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface GlobalInfoSupporter

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

defineOptions

public void defineOptions()

Adds options to the internal list of options.

Specified by:

defineOptions in interface OptionHandler

Overrides:

defineOptions in class AbstractOptionHandler

setMean

public void setMean(double value)

Sets the mean.

Parameters:

value - the mean

getMean

public double getMean()

Returns the mean.

Returns:

the mean

meanTipText

public String meanTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

setInverseCumAccuracy

public void setInverseCumAccuracy(double value)

Sets the inverse cumulative accuracy.

Parameters:

value - the accuracy

getInverseCumAccuracy

public double getInverseCumAccuracy()

Returns the inverse cumulative accuracy.

Returns:

the accuracy

inverseCumAccuracyTipText

public String inverseCumAccuracyTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

getRealDistribution

public org.apache.commons.math3.distribution.RealDistribution getRealDistribution()

Returns the configured distribution.

Specified by:

getRealDistribution in class AbstractRealDistribution

Returns:

the distribution