com.rapidminer.tools.math.distribution
Class NormalDistribution

java.lang.Object
  com.rapidminer.tools.math.distribution.ContinuousDistribution
      com.rapidminer.tools.math.distribution.NormalDistribution

All Implemented Interfaces:

Distribution, java.io.Serializable

Direct Known Subclasses:

EmpiricalNormalDistribution

public class NormalDistribution
extends ContinuousDistribution

This class represents a gaussian normal distribution.

Version:

$Id: NormalDistribution.java,v 1.3.2.3 2009-04-08 14:40:23 tobiasmalbrecht Exp $ ======= >>>>>>> 1.3.2.2

Author:

Tobias Malbrecht, Sebastian Land <<<<<<< NormalDistribution.java

See Also:

Serialized Form

Field Summary

protected double	mean
protected double	standardDeviation

Constructor Summary

NormalDistribution(double mean, double standardDeviation)

Method Summary

java.lang.String	getAttributeName()
static double	getLogProbability(double mean, double standardDeviation, double value)
double	getLowerBound() This method returns a lower bound of values.
static double	getLowerBound(double mean, double standardDeviation)
double	getMean()
int	getNumberOfParameters() This should return the number of parameters defining this distribution
java.lang.String	getParameterName(int index) This method should return the name of the i-th parameter
double	getParameterValue(int index) This method should return the value of the i-th parameter
double	getProbability(double value) This method returns the density of the given distribution at the specified value.
static double	getProbability(double mean, double standardDeviation, double value)
double	getStandardDeviation()
double	getUpperBound() This method returns an upper bound of possible values.
static double	getUpperBound(double mean, double standardDeviation)
double	getVariance()
java.lang.String	toString() Should return an textual representation of the distribution.

Methods inherited from class com.rapidminer.tools.math.distribution.ContinuousDistribution

isContinuous, isDiscrete, mapValue

Methods inherited from class java.lang.Object

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

Field Detail

mean

protected double mean

standardDeviation

protected double standardDeviation

Constructor Detail

NormalDistribution

public NormalDistribution(double mean,
                          double standardDeviation)

Method Detail

getAttributeName

public java.lang.String getAttributeName()

getProbability

public static double getProbability(double mean,
                                    double standardDeviation,
                                    double value)

getLogProbability

public static double getLogProbability(double mean,
                                       double standardDeviation,
                                       double value)

getLowerBound

public static final double getLowerBound(double mean,
                                         double standardDeviation)

getUpperBound

public static final double getUpperBound(double mean,
                                         double standardDeviation)

getProbability

public double getProbability(double value)

Description copied from interface: Distribution

This method returns the density of the given distribution at the specified value.

Specified by:

getProbability in interface Distribution

Specified by:

getProbability in class ContinuousDistribution

Parameters:

value - the value which density shall be returned

getMean

public double getMean()

getStandardDeviation

public double getStandardDeviation()

getVariance

public double getVariance()

getLowerBound

public double getLowerBound()

Description copied from class: ContinuousDistribution

This method returns a lower bound of values. This bound should be given by the distributions tail, for example bounds should contain 95% interval. Nominal distributions should return NaN.

Specified by:

getLowerBound in class ContinuousDistribution

getUpperBound

public double getUpperBound()

Description copied from class: ContinuousDistribution

This method returns an upper bound of possible values. This bound should be given by the distributions tail, for example bounds should contain 95% interval. Nominal distributions should return NaN.

Specified by:

getUpperBound in class ContinuousDistribution

toString

public java.lang.String toString()

Description copied from interface: Distribution

Should return an textual representation of the distribution.

Specified by:

toString in interface Distribution

Overrides:

toString in class java.lang.Object

getNumberOfParameters

public int getNumberOfParameters()

Description copied from interface: Distribution

This should return the number of parameters defining this distribution

getParameterName

public java.lang.String getParameterName(int index)

Description copied from interface: Distribution

This method should return the name of the i-th parameter

getParameterValue

public double getParameterValue(int index)

Description copied from interface: Distribution

This method should return the value of the i-th parameter