uk.ac.soton.simulation.jsit.core

Class DistBernoulli

java.lang.Object

uk.ac.soton.simulation.jsit.core.AbstractStochasticItem

uk.ac.soton.simulation.jsit.core.Distribution

uk.ac.soton.simulation.jsit.core.DistributionDiscrete

uk.ac.soton.simulation.jsit.core.DistributionCategorical<Sampler.Binary>

uk.ac.soton.simulation.jsit.core.DistBernoulli

All Implemented Interfaces:

java.io.Serializable, ContinuousSampler

public class DistBernoulli
extends DistributionCategorical<Sampler.Binary>
implements java.io.Serializable

JSIT representation of a Bernoulli distribution.

Since:

0.1

Author:

Stuart Rossiter

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class uk.ac.soton.simulation.jsit.core.DistributionCategorical

DistributionCategorical.Range

Field Summary

Fields inherited from class uk.ac.soton.simulation.jsit.core.DistributionDiscrete

CUMULATIVE_PROB_TOLERANCE

Constructor Summary

Constructors

Constructor and Description
DistBernoulli(double p) Create a Bernoulli distribution instance.

Method Summary

Modifier and Type	Method and Description
Distribution	createUnregisteredCopy() Create an unregistered copy of this distribution.
double	getP() Get the distribution's p value (probability of success).
void	setP(double p) Change (set) the p value of the distribution.
java.lang.String	toString() Custom toString implementation.

Methods inherited from class uk.ac.soton.simulation.jsit.core.DistributionCategorical

addRange, clearRanges, getK, isLocked, lock, sampleCategory, unlock, usesEnumCategory, usesMappedRanges

Methods inherited from class uk.ac.soton.simulation.jsit.core.DistributionDiscrete

sampleDouble, sampleInt

Methods inherited from class uk.ac.soton.simulation.jsit.core.Distribution

createRegisteredCopy

Methods inherited from class uk.ac.soton.simulation.jsit.core.AbstractStochasticItem

getSampler, registerAccessInfo, registerSampler

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

DistBernoulli

public DistBernoulli(double p)

Create a Bernoulli distribution instance.

Parameters:

p - The p value (success probability) for the trial.

Since:

0.1

Method Detail

setP

public void setP(double p)

Change (set) the p value of the distribution.

Parameters:

p - The new p value (probability of success).

getP

public double getP()

Get the distribution's p value (probability of success).

Returns:

The p value.

toString

public java.lang.String toString()

Custom toString implementation.

Specified by:

toString in class DistributionCategorical<Sampler.Binary>

Returns:

A string representation of the distribution; e.g., "Bernoulli(0.8)".

Since:

0.1

createUnregisteredCopy

public Distribution createUnregisteredCopy()

Create an unregistered copy of this distribution.

Specified by:

createUnregisteredCopy in class Distribution

Returns:

The unregistered copy. (This will need casting as appropriate.)

Since:

0.2