Package nl.tudelft.simulation.jstats.distributions

Class DistDiscreteUniform

java.lang.Object

nl.tudelft.simulation.jstats.distributions.Dist

nl.tudelft.simulation.jstats.distributions.DistDiscrete

nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform

All Implemented Interfaces:

Serializable

public class DistDiscreteUniform
extends DistDiscrete

The discrete Uniform distribution. For more information on this distribution see https://mathworld.wolfram.com/UniformDistribution.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
DistDiscreteUniform(StreamInterface stream, long min, long max)	constructs a new discrete uniform distribution, such as throwing dice with possible outcomes 1..6.

Method Summary

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

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, wait, wait, wait

Constructor Details

DistDiscreteUniform

public DistDiscreteUniform(StreamInterface stream,
 long min,
 long max)

constructs a new discrete uniform distribution, such as throwing dice with possible outcomes 1..6. Random occurrence with several possible outcomes, each of which is equally likely.

Parameters:

stream - StreamInterface; the random number stream

min - long; the minimal value

max - long; the maximum value

Throws:

IllegalArgumentException - when min >= max

Method Details

draw

public long draw()

draws the next long from the stream.

Specified by:

draw in class DistDiscrete

Returns:

long

probability

public double probability(long observation)

returns the probability of the observation in this particular distribution.

Specified by:

probability in class DistDiscrete

Parameters:

observation - long; the discrete observation.

Returns:

double the probability.

getMin

public long getMin()

Returns:

min

getMax

public long getMax()

Returns:

max

toString

public String toString()

Overrides:

toString in class Object