Module io.github.ralfkonrad.quantlib

Package org.quantlib

Class IncrementalStatistics

java.lang.Object

org.quantlib.IncrementalStatistics

All Implemented Interfaces:

AutoCloseable, org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable

public class IncrementalStatistics
extends Object
implements org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable

Field Summary

Fields

Modifier and Type	Field	Description
protected boolean	swigCMemOwn

Constructor Summary

Constructors

Modifier	Constructor	Description
	IncrementalStatistics()
protected	IncrementalStatistics(long cPtr, boolean cMemoryOwn)

Method Summary

Modifier and Type	Method	Description
void	add(double value)
void	add(double value, double weight)
void	add(DoubleVector values)
void	add(DoubleVector values, DoubleVector weights)
void	delete()
double	errorEstimate()
protected void	finalize()
protected static long	getCPtr(IncrementalStatistics obj)
double	kurtosis()
double	max()
double	mean()
double	min()
void	reset()
long	samples()
double	skewness()
double	standardDeviation()
protected static long	swigRelease(IncrementalStatistics obj)
double	variance()
double	weightSum()

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable

close

Field Detail

swigCMemOwn

protected transient boolean swigCMemOwn

Constructor Detail

IncrementalStatistics

protected IncrementalStatistics(long cPtr,
                                boolean cMemoryOwn)

IncrementalStatistics

public IncrementalStatistics()

Method Detail

getCPtr

protected static long getCPtr(IncrementalStatistics obj)

swigRelease

protected static long swigRelease(IncrementalStatistics obj)

finalize

protected void finalize()

Overrides:

finalize in class Object

delete

public void delete()

Specified by:

delete in interface org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable

samples

public long samples()

weightSum

public double weightSum()

mean

public double mean()

variance

public double variance()

standardDeviation

public double standardDeviation()

errorEstimate

public double errorEstimate()

skewness

public double skewness()

kurtosis

public double kurtosis()

min

public double min()

max

public double max()

reset

public void reset()

add

public void add(double value,
                double weight)

add

public void add(double value)

add

public void add(DoubleVector values)

add

public void add(DoubleVector values,
                DoubleVector weights)