Package nl.tudelft.simulation.jstats.distributions

Class DistDiscrete

java.lang.Object

nl.tudelft.simulation.jstats.distributions.Dist

nl.tudelft.simulation.jstats.distributions.DistDiscrete

All Implemented Interfaces:

Serializable

Direct Known Subclasses:

DistBernoulli, DistBinomial, DistDiscreteConstant, DistDiscreteUniform, DistEmpiricalDiscreteLong, DistGeometric, DistNegBinomial, DistPoisson

public abstract class DistDiscrete
extends Dist

The discrete distribution. For more information on this distribution see https://mathworld.wolfram.com/DiscreteDistribution.html

Copyright (c) 2002-2024 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands. All rights reserved. See for project information https://simulation.tudelft.nl. The DSOL project is distributed under a three-clause BSD-style license, which can be found at https://https://simulation.tudelft.nl/dsol/docs/latest/license.html.

Author:

Peter Jacobs , Alexander Verbraeck

See Also:

• Serialized Form

Field Summary

Fields inherited from class nl.tudelft.simulation.jstats.distributions.Dist

stream

Constructor Summary

Constructors

Constructor	Description
DistDiscrete(StreamInterface stream)	constructs a new discrete distribution.

Method Summary

Modifier and Type	Method	Description
abstract long	draw()	draws the next long from the stream.
abstract double	probability(long observation)	returns the probability of the observation in this particular distribution.

Methods inherited from class nl.tudelft.simulation.jstats.distributions.Dist

getStream, setStream

Methods inherited from class java.lang.Object

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

Constructor Details

DistDiscrete

public DistDiscrete(StreamInterface stream)

constructs a new discrete distribution.

Parameters:

stream - StreamInterface; the random number stream

Method Details

draw

public abstract long draw()

draws the next long from the stream.

Returns:

long

probability

public abstract double probability(long observation)

returns the probability of the observation in this particular distribution.

Parameters:

observation - long; the discrete observation.

Returns:

double the probability.