de.uka.ipd.sdq.probfunction
Interface NormalDistribution

All Superinterfaces:

ContinuousPDF, ProbabilityDensityFunction, ProbabilityFunction, UnitCarryingElement

All Known Implementing Classes:

NormalDistributionImpl

public interface NormalDistribution
extends ContinuousPDF

A representation of the model object 'Normal Distribution'.

The following features are supported:

• Mu
• Sigma

See Also:

ProbfunctionPackage.getNormalDistribution()

Field Summary

static String

copyright

Method Summary

double	getMu() Returns the value of the 'Mu' attribute.
double	getSigma() Returns the value of the 'Sigma' attribute.
void	setMu(double value) Sets the value of the 'Mu' attribute.
void	setSigma(double value) Sets the value of the 'Sigma' attribute.

Methods inherited from interface de.uka.ipd.sdq.units.UnitCarryingElement

getUnit, getUnitSpecification, setUnitSpecification

Field Detail

copyright

static final String copyright

See Also:

Constant Field Values

Method Detail

getMu

double getMu()

Returns the value of the 'Mu' attribute.

If the meaning of the 'Mu' attribute isn't clear, there really should be more of a description here...

Returns:

the value of the 'Mu' attribute.

See Also:

setMu(double), ProbfunctionPackage.getNormalDistribution_Mu()

setMu

void setMu(double value)

Sets the value of the 'Mu' attribute.

Parameters:

value - the new value of the 'Mu' attribute.

See Also:

getMu()

getSigma

double getSigma()

Returns the value of the 'Sigma' attribute.

If the meaning of the 'Sigma' attribute isn't clear, there really should be more of a description here...

Returns:

the value of the 'Sigma' attribute.

See Also:

setSigma(double), ProbfunctionPackage.getNormalDistribution_Sigma()

setSigma

void setSigma(double value)

Sets the value of the 'Sigma' attribute.

Parameters:

value - the new value of the 'Sigma' attribute.

See Also:

getSigma()