nl.tudelft.simulation.jstats.distributions
Class DistDiscreteEmpirical

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

All Implemented Interfaces:

Serializable

public class DistDiscreteEmpirical
extends DistDiscrete

The discrete empirical distribution as defined on page 326 of Law&Kelton.

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

Since:

1.2

Version:

$Revision: 1.1 $ $Date: 2007/01/06 13:25:42 $

Author:

Peter Jacobs

See Also:

Serialized Form

Field Summary

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

stream

Constructor Summary

DistDiscreteEmpirical(StreamInterface stream, long[] observations)
constructs a new DistDiscreteEmpirical distribution.

DistDiscreteEmpirical(StreamInterface stream, Long[] observations)
constructs a new DistDiscreteEmpirical distribution.

DistDiscreteEmpirical(StreamInterface stream, ObservationsInterface observations)
constructs a new DistDiscreteEmpirical distribution.

DistDiscreteEmpirical(StreamInterface stream, SortedMap observations, boolean cummulative)
constructs a new DistDiscreteEmpirical distribution.

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

DistDiscreteEmpirical

public DistDiscreteEmpirical(StreamInterface stream,
                             ObservationsInterface observations)

constructs a new DistDiscreteEmpirical distribution.

Parameters:

stream - the stream to use

observations - the observations feeding the distributions. These observations should be in one of two possible formats. The first accepted format is the X(i);probability format. This results in a map with values such as 1=0.33;2=0.167;3=0.167;4=0.33. The second allowed format is the X(i);occurrence combination resulting in values such as 1=2;2=1;3=1;4=2.

DistDiscreteEmpirical

public DistDiscreteEmpirical(StreamInterface stream,
                             Long[] observations)

constructs a new DistDiscreteEmpirical distribution.

Parameters:

stream - the stream to use

observations - the observations feeding the distributions. This sortedmap should be filled with observation probability values. The probability may either reflect the number of times this observation is observed or may contain a relative probability.

DistDiscreteEmpirical

public DistDiscreteEmpirical(StreamInterface stream,
                             long[] observations)

constructs a new DistDiscreteEmpirical distribution.

Parameters:

stream - the stream to use

observations - the observations feeding the distributions. This sortedmap should be filled with observation probability values. The probability may either reflect the number of times this observation is observed or may contain a relative probability.

DistDiscreteEmpirical

public DistDiscreteEmpirical(StreamInterface stream,
                             SortedMap observations,
                             boolean cummulative)

constructs a new DistDiscreteEmpirical distribution.

Parameters:

stream - the stream to use

observations - the observations feeding the distributions. This sortedmap should be filled with observation probability values. The probability may either reflect the number of times this observation is observed or may contain a relative probability.

cummulative - reflects whether the probabilities are cummulative

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)