Module io.github.ralfkonrad.quantlib

Package org.quantlib

Class Statistics

java.lang.Object

org.quantlib.Statistics

All Implemented Interfaces:

AutoCloseable, org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable

Direct Known Subclasses:

RiskStatistics

public class Statistics
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
	Statistics()
protected	Statistics(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(Statistics obj)
double	kurtosis()
double	max()
double	mean()
double	min()
void	reset()
long	samples()
double	skewness()
double	standardDeviation()
protected static long	swigRelease(Statistics 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

Statistics

protected Statistics(long cPtr,
                     boolean cMemoryOwn)

Statistics

public Statistics()

Method Detail

getCPtr

protected static long getCPtr(Statistics obj)

swigRelease

protected static long swigRelease(Statistics 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)