nl.tudelft.simulation.jstats.distributions
Class DistEmpirical

java.lang.Object
  nl.tudelft.simulation.jstats.distributions.Dist
      nl.tudelft.simulation.jstats.distributions.DistContinuous
          nl.tudelft.simulation.jstats.distributions.DistEmpirical

All Implemented Interfaces:

Serializable

public class DistEmpirical
extends DistContinuous

The histogram specifies a histogram chart for the DSOL framework.

(c) copyright 2004 Delft University of Technology , the Netherlands.
See for project information www.simulation.tudelft.nl/dsol
License of use: General Public License (GPL) , 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

DistEmpirical(StreamInterface stream, Double[] observations)
constructs a new DistEmpirical

DistEmpirical(StreamInterface stream, List observations)
constructs a new DistEmpirical

DistEmpirical(StreamInterface stream, ObservationsInterface observations)
constructs a new DistEmpirical

DistEmpirical(StreamInterface stream, SortedMap observations, boolean cummulative)
constructs a new DistEmpirical

Method Summary

double	draw() draws the next stream value according to the probability of this this distribution.
double	probDensity(double observation) returns the propbability density value of an observation

Methods inherited from class java.lang.Object

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

Constructor Detail

DistEmpirical

public DistEmpirical(StreamInterface stream,
                     ObservationsInterface observations)

constructs a new DistEmpirical

Parameters:

stream - the stream to use

observations - the observations underlying this empirical distribution. The observations do not need to be sorted. Double observations are allowed and are used.

DistEmpirical

public DistEmpirical(StreamInterface stream,
                     Double[] observations)

constructs a new DistEmpirical

Parameters:

stream - the stream to use

observations - the observations underlying this empirical distribution. The observations do not need to be sorted. Double observations are allowed and are used.

DistEmpirical

public DistEmpirical(StreamInterface stream,
                     List observations)

constructs a new DistEmpirical

Parameters:

stream - the stream to use

observations - the observations underlying this empirical distribution. The observations do not need to be sorted. Double observations are allowed and are used.

DistEmpirical

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

constructs a new DistEmpirical

Parameters:

stream - the stream to use

observations - the observations underlying this empirical distribution. The observations do not need to be sorted. Double observations are allowed and are used.

cummulative - are the probabilities cummulative?

Method Detail

draw

public double draw()

Description copied from class: DistContinuous

draws the next stream value according to the probability of this this distribution.

Specified by:

draw in class DistContinuous

Returns:

the next double value drawn.

See Also:

DistContinuous.draw()

probDensity

public double probDensity(double observation)

Description copied from class: DistContinuous

returns the propbability density value of an observation

Specified by:

probDensity in class DistContinuous

Parameters:

observation - the observation.

Returns:

double the probability density.

See Also:

DistContinuous.probDensity(double)