org.opentrafficsim.kpi.sampling.indicator

Class PersistentStatistic<T extends AbstractDoubleScalarRel<?,T>>

java.lang.Object

org.opentrafficsim.kpi.sampling.indicator.PersistentStatistic<T>

Type Parameters:

T - type of the value

All Implemented Interfaces:

DoubleScalarInterface

public class PersistentStatistic<T extends AbstractDoubleScalarRel<?,T>>
extends Object
implements DoubleScalarInterface

Copyright (c) 2013-2019 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
BSD-style license. See OpenTrafficSim License.

Version:

$Revision$, $LastChangedDate$, by $Author$, initial version 18 okt. 2016

Author:

Alexander Verbraeck, Peter Knoppers, Wouter Schakel

Constructor Summary

Constructors

Constructor and Description
PersistentStatistic(Persistent<?,T,?> persistent) Constructor.

Method Summary

Modifier and Type	Method and Description
ConfidenceInterval<T>	getConfidenceInterval(double alpha)
ConfidenceInterval<T>	getConfidenceInterval(double alpha, IntervalSide side)
double	getInUnit()
T	getMax()
T	getMean()
T	getMin()
long	getN()
double	getSI()
T	getStDev()
T	getSum()
double	getVariance()
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

PersistentStatistic

public PersistentStatistic(Persistent<?,T,?> persistent)

Constructor.

Parameters:

persistent - Persistent<?,T,?>; the persistent statistic that gathers the data

Method Detail

getConfidenceInterval

public ConfidenceInterval<T> getConfidenceInterval(double alpha)

Parameters:

alpha - double; confidence level

Returns:

both-side confidence interval

getConfidenceInterval

public ConfidenceInterval<T> getConfidenceInterval(double alpha,
                                                   IntervalSide side)

Parameters:

alpha - double; confidence level

side - IntervalSide; side of confidence interval

Returns:

confidence interval

getSum

public T getSum()

Returns:

sum.

getMin

public T getMin()

Returns:

min.

getMax

public T getMax()

Returns:

max.

getMean

public T getMean()

Returns:

mean.

getStDev

public T getStDev()

Returns:

stDev.

getVariance

public double getVariance()

Returns:

variance.

getN

public long getN()

Returns:

n.

getSI

public double getSI()

Specified by:

getSI in interface DoubleScalarInterface

getInUnit

public double getInUnit()

Specified by:

getInUnit in interface DoubleScalarInterface

toString

public final String toString()

Overrides:

toString in class Object