Package org.opentrafficsim.kpi.sampling.indicator

Class PersistentStatistic<U extends Unit<U>,T extends AbstractDoubleScalarRel<U,T>>

java.lang.Object

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

Type Parameters:

U - the unit type

T - type of the value

public class PersistentStatistic<U extends Unit<U>,T extends AbstractDoubleScalarRel<U,T>>
extends Object

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

Method Summary

Modifier and Type	Method	Description
ConfidenceInterval<T>	getConfidenceInterval(double alpha)
ConfidenceInterval<T>	getConfidenceInterval(double alpha, IntervalSide side)
T	getMax()
T	getMean()
T	getMin()
long	getN()
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 Details

PersistentStatistic

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

Constructor.

Parameters:

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

Method Details

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.

toString

public final String toString()

Overrides:

toString in class Object