Package de.uka.ipd.sdq.probfunction.math.apache.impl

Class PDFFactory

java.lang.Object

de.uka.ipd.sdq.probfunction.math.apache.impl.PDFFactory

All Implemented Interfaces:

IContinousPDFFactory, IDiscretePDFFactory, IPDFFactory

public class PDFFactory
extends Object
implements IPDFFactory

Constructor Summary

Constructors

Constructor	Description
PDFFactory()

Method Summary

Modifier and Type	Method	Description
IBinomialDistribution	createBinomialDistribution(int trials, double probability)	Creates a new BinomialDistribution for doing math.
IChiSquareDistribution	createChiSquareDistribution(int degreesOfFreedom)	Creates a new chi-square distribution with the specified parameter.
IExponentialDistribution	createExponentialDistribution(double rate)	Creates a new ExponentialDistribution for doing math.
IGammaDistribution	createGammaDistribution(double alpha, double theta)	Creates a new GammaDistribution for doing math.
IGammaDistribution	createGammaDistributionFromMoments(double mean, double coeffVar)	Creates a new GammaDistribution for doing math.
ILognormalDistribution	createLognormalDistribution(double mu, double sigma)	Creates a new LognormalDistribution for doing math.
ILognormalDistribution	createLognormalDistributionFromMoments(double mean, double variance)	Creates a new LognormalDistribution for doing math.
INormalDistribution	createNormalDistribution(double mu, double sigma)	Creates a new NormalDistribution for doing math.
IPoissonDistribution	createPoissonDistribution(double mean)	Creates a new PoissonDistribution for doing math.
IStudentTDistribution	createStudentTDistribution(int degreesOfFreedom)	Creates a new student's t-distribution with the specified parameter.
IUniformDistribution	createUniformDistribution(double a, double b)	Creates a new UniformDistribution for doing math.
IUniformIntDistribution	createUniformIntDistribution(int a, int b)	Creates a new UniformIntDistribution for doing math.
void	setRandomGenerator(IRandomGenerator randomGenerator)

Methods inherited from class java.lang.Object

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

Constructor Details

PDFFactory

public PDFFactory()

Method Details

setRandomGenerator

public void setRandomGenerator(IRandomGenerator randomGenerator)

Specified by:

setRandomGenerator in interface IPDFFactory

createExponentialDistribution

public IExponentialDistribution createExponentialDistribution(double rate)

Description copied from interface: IContinousPDFFactory

Creates a new ExponentialDistribution for doing math.

Specified by:

createExponentialDistribution in interface IContinousPDFFactory

Parameters:

rate - The rate parameter

Returns:

The distribution

createGammaDistribution

public IGammaDistribution createGammaDistribution(double alpha,
 double theta)

Description copied from interface: IContinousPDFFactory

Creates a new GammaDistribution for doing math.

Specified by:

createGammaDistribution in interface IContinousPDFFactory

Parameters:

alpha - The alpha value

theta - The theta value

Returns:

The distribution

createLognormalDistribution

public ILognormalDistribution createLognormalDistribution(double mu,
 double sigma)

Description copied from interface: IContinousPDFFactory

Creates a new LognormalDistribution for doing math.

Specified by:

createLognormalDistribution in interface IContinousPDFFactory

Parameters:

mu - The mean value

sigma - The standard deviation

Returns:

The distribution

createNormalDistribution

public INormalDistribution createNormalDistribution(double mu,
 double sigma)

Description copied from interface: IContinousPDFFactory

Creates a new NormalDistribution for doing math.

Specified by:

createNormalDistribution in interface IContinousPDFFactory

Parameters:

mu - The mean value

sigma - The standard deviation

Returns:

The distribution

createGammaDistributionFromMoments

public IGammaDistribution createGammaDistributionFromMoments(double mean,
 double coeffVar)

Description copied from interface: IContinousPDFFactory

Creates a new GammaDistribution for doing math.

Specified by:

createGammaDistributionFromMoments in interface IContinousPDFFactory

Parameters:

mean - The mean value

coeffVar - The coeffVar value

Returns:

The distribution

createLognormalDistributionFromMoments

public ILognormalDistribution createLognormalDistributionFromMoments(double mean,
 double variance)

Description copied from interface: IContinousPDFFactory

Creates a new LognormalDistribution for doing math.

Specified by:

createLognormalDistributionFromMoments in interface IContinousPDFFactory

Parameters:

mean - The mean value

variance - The variance value

Returns:

The distribution

createBinomialDistribution

public IBinomialDistribution createBinomialDistribution(int trials,
 double probability)

Description copied from interface: IDiscretePDFFactory

Creates a new BinomialDistribution for doing math.

Specified by:

createBinomialDistribution in interface IDiscretePDFFactory

Parameters:

trials - The trials

probability - The probability of success

Returns:

The distribution

createPoissonDistribution

public IPoissonDistribution createPoissonDistribution(double mean)

Description copied from interface: IDiscretePDFFactory

Creates a new PoissonDistribution for doing math.

Specified by:

createPoissonDistribution in interface IDiscretePDFFactory

Parameters:

mean - The mean

Returns:

The distribution

createUniformIntDistribution

public IUniformIntDistribution createUniformIntDistribution(int a,
 int b)

Description copied from interface: IDiscretePDFFactory

Creates a new UniformIntDistribution for doing math.

Specified by:

createUniformIntDistribution in interface IDiscretePDFFactory

Parameters:

a - The a value

b - The b value

Returns:

The distribution

createUniformDistribution

public IUniformDistribution createUniformDistribution(double a,
 double b)

Description copied from interface: IContinousPDFFactory

Creates a new UniformDistribution for doing math.

Specified by:

createUniformDistribution in interface IContinousPDFFactory

Parameters:

a - The a value

b - The b value

Returns:

The distribution

createChiSquareDistribution

public IChiSquareDistribution createChiSquareDistribution(int degreesOfFreedom)

Description copied from interface: IContinousPDFFactory

Creates a new chi-square distribution with the specified parameter.

Specified by:

createChiSquareDistribution in interface IContinousPDFFactory

Parameters:

degreesOfFreedom - the degrees of freedom

Returns:

the distribution

createStudentTDistribution

public IStudentTDistribution createStudentTDistribution(int degreesOfFreedom)

Description copied from interface: IContinousPDFFactory

Creates a new student's t-distribution with the specified parameter.

Specified by:

createStudentTDistribution in interface IContinousPDFFactory

Parameters:

degreesOfFreedom - the degrees of freedom

Returns:

the distribution