PersistentStatistic (OpenTrafficSim KPI Module 1.04.04 API)

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) 2013-2020 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

All Methods Instance Methods Concrete Methods
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 Detail
  - PersistentStatistic
```
public PersistentStatistic(Persistent<U,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.
  - toString
```
public final String toString()
```
    Overrides:
    
    toString in class Object