nl.tudelft.simulation.jstats.distributions

Class DistLogNormal

java.lang.Object

nl.tudelft.simulation.jstats.distributions.Dist

nl.tudelft.simulation.jstats.distributions.DistContinuous

nl.tudelft.simulation.jstats.distributions.DistNormal

nl.tudelft.simulation.jstats.distributions.DistLogNormal

All Implemented Interfaces:

Serializable

public class DistLogNormal
extends DistNormal

The LogNormal distribution. For more information on this distribution see http://mathworld.wolfram.com/LogNormalDistribution.html

(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:

Alexander Verbraeck
Peter Jacobs

See Also:

Serialized Form

Field Summary

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

CUMULATIVE_NORMAL_PROPABILITIES, haveNextNextGaussian, mu, sigma

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

stream

Constructor Summary

Constructors

Constructor and Description
DistLogNormal(StreamInterface stream, double mu, double sigma) constructs a new logaritmic normal distribution

Method Summary

Methods

Modifier and Type	Method and Description
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
String	toString()

Methods inherited from class nl.tudelft.simulation.jstats.distributions.DistNormal

getCumulativeProbability, getInverseCumulativeProbability, nextGaussian

Methods inherited from class java.lang.Object

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

Constructor Detail

DistLogNormal

public DistLogNormal(StreamInterface stream,
             double mu,
             double sigma)

constructs a new logaritmic normal distribution

Parameters:

stream - the numberStream

mu - the medium

sigma - the standard deviation

Method Detail

draw

public double draw()

Description copied from class: DistContinuous

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

Overrides:

draw in class DistNormal

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

Overrides:

probDensity in class DistNormal

Parameters:

observation - the observation.

Returns:

double the probability density.

See Also:

#probDensity(double)

toString

public String toString()

Overrides:

toString in class DistNormal

See Also:

Object.toString()