Package nl.tudelft.simulation.jstats.distributions

Class DistBinomial

java.lang.Object

nl.tudelft.simulation.jstats.distributions.Dist

nl.tudelft.simulation.jstats.distributions.DistDiscrete

nl.tudelft.simulation.jstats.distributions.DistBinomial

All Implemented Interfaces:

Serializable

public class DistBinomial
extends DistDiscrete

The Binomial distribution. The binomial distribution is the probability of the number of successes in a sequence of n independent experiments, each with success (probability p) or failure (probability q = 1 − p). For more information on this distribution see https://mathworld.wolfram.com/BinomialDistribution.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
DistBinomial(StreamInterface stream, int n, double p)	constructs a Binomial distribution.

Method Summary

Modifier and Type	Method	Description
long	draw()	draws the next long from the stream.
int	getN()	Return the number of independent experiments for the Binomial distribution.
double	getP()	Return the probability of success for each individual trial in the binomial distribution.
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

DistBinomial

public DistBinomial(StreamInterface stream,
 int n,
 double p)

constructs a Binomial distribution. It calculates the probability for a number of successes in n independent Bernoulli trials with probability p of success on each trial.

Parameters:

stream - StreamInterface; the random number stream

n - long; the number of independent experiments for the Binomial distribution

p - double; the probability of success for each individual trial in the binomial distribution

Throws:

IllegalArgumentException - when n <= 0 or p <= 0 or p >= 1

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.

getN

public int getN()

Return the number of independent experiments for the Binomial distribution.

Returns:

int; the number of independent experiments for the Binomial distribution

getP

public double getP()

Return the probability of success for each individual trial in the binomial distribution.

Returns:

double; the probability of success for each individual trial in the binomial distribution

toString

public String toString()

Overrides:

toString in class Object