java.lang.Object
- org.apache.commons.math3.distribution.AbstractRealDistribution
- - org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution
  - - org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

All Implemented Interfaces:

java.io.Serializable, org.apache.commons.math3.analysis.UnivariateFunction, org.apache.commons.math3.distribution.RealDistribution

Direct Known Subclasses:

TruncatedWrapper
```
public class RejectionWrapper
extends AnotherAbstractRealDistribution
```
A wrapper around a distribution that cuts off a part below a certain threshold constraint and rescales the rest of the distribution to become a valid one again.
For sampling, a basic rejection sampling approach is implemented in sample().

Author:

Andreas Rogge-Solti

See Also:

for a more advanced version using a slice sampling approach., Serialized Form

Field Summary

Fields
Modifier and Type	Field	Description
`protected double`	`constraint`	the constraint, such that the distribution is truncated below this constraint
`protected double`	`scale`	scaling function, such that the truncated distribution will integrate to 1
`protected org.apache.commons.math3.distribution.RealDistribution`	`wrappedDist`	The original distribution

Fields inherited from class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution
cachedMean, cachedVariance

Fields inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution
random, randomData, SOLVER_DEFAULT_ABSOLUTE_ACCURACY

Constructor Summary

Constructors
Constructor	Description
`RejectionWrapper(org.apache.commons.math3.distribution.RealDistribution dist)`
`RejectionWrapper(org.apache.commons.math3.distribution.RealDistribution dist, double constraint)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`density(double x)`
`double`	`getSupportLowerBound()`
`double`	`getSupportUpperBound()`
`boolean`	`isSupportConnected()`
`boolean`	`isSupportLowerBoundInclusive()`
`boolean`	`isSupportUpperBoundInclusive()`
`void`	`reseedRandomGenerator(long seed)`
`double`	`sample()`	Perform simple rejection sampling until we find a sample that is above the constraint threshold.
`double[]`	`sample(int sampleSize)`

Methods inherited from class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution
cumulativeProbability, getNumericalMean, getNumericalVariance, value

Methods inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution
cumulativeProbability, getSolverAbsoluteAccuracy, inverseCumulativeProbability, logDensity, probability, probability

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - wrappedDist
```
protected org.apache.commons.math3.distribution.RealDistribution wrappedDist
```
    The original distribution
  - constraint
```
protected double constraint
```
    the constraint, such that the distribution is truncated below this constraint
  - scale
```
protected double scale
```
    scaling function, such that the truncated distribution will integrate to 1
- Constructor Detail
  - RejectionWrapper
```
public RejectionWrapper(org.apache.commons.math3.distribution.RealDistribution dist)
```
  - RejectionWrapper
```
public RejectionWrapper(org.apache.commons.math3.distribution.RealDistribution dist,
                        double constraint)
```
- Method Detail
  - density
```
public double density(double x)
```
  - getSupportLowerBound
```
public double getSupportLowerBound()
```
  - getSupportUpperBound
```
public double getSupportUpperBound()
```
  - isSupportLowerBoundInclusive
```
public boolean isSupportLowerBoundInclusive()
```
  - isSupportUpperBoundInclusive
```
public boolean isSupportUpperBoundInclusive()
```
  - isSupportConnected
```
public boolean isSupportConnected()
```
  - reseedRandomGenerator
```
public void reseedRandomGenerator(long seed)
```
    Specified by:
    
    reseedRandomGenerator in interface org.apache.commons.math3.distribution.RealDistribution
    
    Overrides:
    
    reseedRandomGenerator in class org.apache.commons.math3.distribution.AbstractRealDistribution
  - sample
```
public double sample()
```
    Perform simple rejection sampling until we find a sample that is above the constraint threshold.
    
    Specified by:
    
    sample in interface org.apache.commons.math3.distribution.RealDistribution
    
    Overrides:
    
    sample in class org.apache.commons.math3.distribution.AbstractRealDistribution
  - sample
```
public double[] sample(int sampleSize)
```
    Specified by:
    
    sample in interface org.apache.commons.math3.distribution.RealDistribution
    
    Overrides:
    
    sample in class org.apache.commons.math3.distribution.AbstractRealDistribution

Class RejectionWrapper

Field Summary

Fields inherited from class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution

Fields inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution

Constructor Summary

Method Summary

Methods inherited from class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution

Methods inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution

Methods inherited from class java.lang.Object

Field Detail

wrappedDist

constraint

scale

Constructor Detail

RejectionWrapper

RejectionWrapper

Method Detail

density

getSupportLowerBound

getSupportUpperBound

isSupportLowerBoundInclusive

isSupportUpperBoundInclusive

isSupportConnected

reseedRandomGenerator

sample

sample