DistDiscrete (DSOL core project 4.2.1 API)

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) 2002-2023 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

All Methods Instance Methods Abstract Methods
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 Detail
  - DistDiscrete
```
public DistDiscrete(StreamInterface stream)
```
    constructs a new discrete distribution.
    
    Parameters:
    
    stream - StreamInterface; the random number stream
- Method Detail
  - 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.