nl.tudelft.simulation.jstats.distributions
Class DistCustom

java.lang.Object
  nl.tudelft.simulation.jstats.distributions.Dist
      nl.tudelft.simulation.jstats.distributions.DistDiscrete
          nl.tudelft.simulation.jstats.distributions.DistCustom

All Implemented Interfaces:

java.io.Serializable

public class DistCustom

extends DistDiscrete

The custom distribution. This distribution is based on its entry map consisting of value, probability pairs.

(c) copyright 2002-2004 Delft University of Technology , the Netherlands.
See for project information www.simulation.tudelft.nl
License of use: General Public License (GPL) , no warranty

Since:

1.2

Version:

1.4 2004-03-22

Author:

Alexander Verbraeck
Peter Jacobs

See Also:

Serialized Form

Nested Class Summary

static class

DistCustom.Entry A Entry for the custom distribution

Field Summary

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

stream

Constructor Summary

DistCustom(StreamInterface stream, DistCustom.Entry[] values)
constructs a new DistCustom

Method Summary

long	draw() draws the next long from the stream.
double	probability(int observation) returns the propbability of the observation in this particular distribution.

Methods inherited from class java.lang.Object

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

Constructor Detail

DistCustom

public DistCustom(StreamInterface stream,
                  DistCustom.Entry[] values)

constructs a new DistCustom

Parameters:

stream - the stream to use

values - the values for this custom distribution

Method Detail

draw

public long draw()

Description copied from class: DistDiscrete

draws the next long from the stream.

Specified by:

draw in class DistDiscrete

Returns:

long

See Also:

DistDiscrete.draw()

probability

public double probability(int observation)

Description copied from class: DistDiscrete

returns the propbability of the observation in this particular distribution.

Specified by:

probability in class DistDiscrete

Parameters:

observation - the discrete observation.

Returns:

double the probability.

See Also:

DistDiscrete.probability(int)