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Java Source Code / Java Documentation » Science » Apache commons math 1.1 » org.apache.commons.math.distribution

Source Cross Reference Class Diagram Java Document (Java Doc)

java.lang .Object

org.apache.commons.math.distribution .DistributionFactory

All known Subclasses:   org.apache.commons.math.distribution .DistributionFactoryImpl,
DistributionFactory
abstract public class DistributionFactory (Code)
This factory provids the means to create common statistical distributions. The following distributions are supported:

Binomial

Cauchy

Chi-Squared

Exponential

F

Gamma

HyperGeometric

Poisson

Normal

Student's t

Weibull

Common usage:
DistributionFactory factory = DistributionFactory.newInstance(); // create a Chi-Square distribution with 5 degrees of freedom. ChiSquaredDistribution chi = factory.createChiSquareDistribution(5.0);

version:
   $Revision: 201915 $ $Date: 2005-06-26 15:20:57 -0700 (Sun, 26 Jun 2005) $

Constructor Summary
protected DistributionFactory()
     Default constructor.

Method Summary
abstract public BinomialDistribution createBinomialDistribution(int numberOfTrials, double probabilityOfSuccess)
     Create a binomial distribution with the given number of trials and probability of success.
public CauchyDistribution createCauchyDistribution(double median, double scale)
     Create a new cauchy distribution with the given median and scale.
abstract public ChiSquaredDistribution createChiSquareDistribution(double degreesOfFreedom)
     Create a new chi-square distribution with the given degrees of freedom.
abstract public ExponentialDistribution createExponentialDistribution(double mean)
     Create a new exponential distribution with the given degrees of freedom.
abstract public FDistribution createFDistribution(double numeratorDegreesOfFreedom, double denominatorDegreesOfFreedom)
     Create a new F-distribution with the given degrees of freedom.
abstract public GammaDistribution createGammaDistribution(double alpha, double beta)
     Create a new gamma distribution with the given shape and scale parameters.
abstract public HypergeometricDistribution createHypergeometricDistribution(int populationSize, int numberOfSuccesses, int sampleSize)
     Create a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.
abstract public NormalDistribution createNormalDistribution(double mean, double sd)
     Create a new normal distribution with the given mean and standard deviation.
abstract public NormalDistribution createNormalDistribution()
     Create a new normal distribution with mean zero and standard deviation one. a new normal distribution.
abstract public PoissonDistribution createPoissonDistribution(double lambda)
     Create a new Poisson distribution with poisson parameter lambda.
Parameters:
  lambda - poisson parameter a new poisson distribution.
abstract public TDistribution createTDistribution(double degreesOfFreedom)
     Create a new t distribution with the given degrees of freedom.
public WeibullDistribution createWeibullDistribution(double alpha, double beta)
     Create a new Weibull distribution with the given shape and scale parameters.
Parameters:
  alpha - the shape parameter.
Parameters:
  beta - the scale parameter.
public static DistributionFactory newInstance()
     Create an instance of a DistributionFactory a new factory.

Constructor Detail
DistributionFactory
protected DistributionFactory()(Code)
Default constructor.

Method Detail
createBinomialDistribution
abstract public BinomialDistribution createBinomialDistribution(int numberOfTrials, double probabilityOfSuccess)(Code)
Create a binomial distribution with the given number of trials and probability of success.
Parameters:
  numberOfTrials - the number of trials.
Parameters:
  probabilityOfSuccess - the probability of success a new binomial distribution

createCauchyDistribution
public CauchyDistribution createCauchyDistribution(double median, double scale)(Code)
Create a new cauchy distribution with the given median and scale.
Parameters:
  median - the median of the distribution
Parameters:
  scale - the scale a new cauchy distribution
since:
   1.1

createChiSquareDistribution
abstract public ChiSquaredDistribution createChiSquareDistribution(double degreesOfFreedom)(Code)
Create a new chi-square distribution with the given degrees of freedom.
Parameters:
  degreesOfFreedom - degrees of freedom a new chi-square distribution

createExponentialDistribution
abstract public ExponentialDistribution createExponentialDistribution(double mean)(Code)
Create a new exponential distribution with the given degrees of freedom.
Parameters:
  mean - mean a new exponential distribution

createFDistribution
abstract public FDistribution createFDistribution(double numeratorDegreesOfFreedom, double denominatorDegreesOfFreedom)(Code)
Create a new F-distribution with the given degrees of freedom.
Parameters:
  numeratorDegreesOfFreedom - numerator degrees of freedom
Parameters:
  denominatorDegreesOfFreedom - denominator degrees of freedom a new F-distribution

createGammaDistribution
abstract public GammaDistribution createGammaDistribution(double alpha, double beta)(Code)
Create a new gamma distribution with the given shape and scale parameters.
Parameters:
  alpha - the shape parameter
Parameters:
  beta - the scale parameter a new gamma distribution

createHypergeometricDistribution
abstract public HypergeometricDistribution createHypergeometricDistribution(int populationSize, int numberOfSuccesses, int sampleSize)(Code)
Create a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.
Parameters:
  populationSize - the population size
Parameters:
  numberOfSuccesses - number of successes in the population
Parameters:
  sampleSize - the sample size a new hypergeometric desitribution

createNormalDistribution
abstract public NormalDistribution createNormalDistribution(double mean, double sd)(Code)
Create a new normal distribution with the given mean and standard deviation.
Parameters:
  mean - the mean of the distribution
Parameters:
  sd - standard deviation a new normal distribution

createNormalDistribution
abstract public NormalDistribution createNormalDistribution()(Code)
Create a new normal distribution with mean zero and standard deviation one. a new normal distribution.

createPoissonDistribution
abstract public PoissonDistribution createPoissonDistribution(double lambda)(Code)
Create a new Poisson distribution with poisson parameter lambda.
Parameters:
  lambda - poisson parameter a new poisson distribution.

createTDistribution
abstract public TDistribution createTDistribution(double degreesOfFreedom)(Code)
Create a new t distribution with the given degrees of freedom.
Parameters:
  degreesOfFreedom - degrees of freedom a new t distribution

createWeibullDistribution
public WeibullDistribution createWeibullDistribution(double alpha, double beta)(Code)
Create a new Weibull distribution with the given shape and scale parameters.
Parameters:
  alpha - the shape parameter.
Parameters:
  beta - the scale parameter. a new Weibull distribution.
since:
   1.1

newInstance
public static DistributionFactory newInstance()(Code)
Create an instance of a DistributionFactory a new factory.

Methods inherited from java.lang.Object
native protected Object clone() throws CloneNotSupportedException(Code)(Java Doc)
public boolean equals(Object obj)(Code)(Java Doc)
protected void finalize() throws Throwable(Code)(Java Doc)
final native public Class getClass()(Code)(Java Doc)
native public int hashCode()(Code)(Java Doc)
final native public void notify()(Code)(Java Doc)
final native public void notifyAll()(Code)(Java Doc)
public String toString()(Code)(Java Doc)
final native public void wait(long timeout) throws InterruptedException(Code)(Java Doc)
final public void wait(long timeout, int nanos) throws InterruptedException(Code)(Java Doc)
final public void wait() throws InterruptedException(Code)(Java Doc)

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