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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
      org.apache.commons.math.distribution.DistributionFactoryImpl

DistributionFactoryImpl
public class DistributionFactoryImpl extends DistributionFactory (Code)
A concrete distribution factory. This is the default factory used by Commons-Math.
version:
   $Revision: 201915 $ $Date: 2005-06-26 15:20:57 -0700 (Sun, 26 Jun 2005) $



Constructor Summary
public  DistributionFactoryImpl()
     Default constructor.

Method Summary
public  BinomialDistributioncreateBinomialDistribution(int numberOfTrials, double probabilityOfSuccess)
     Create a binomial distribution with the given number of trials and probability of success.
public  ChiSquaredDistributioncreateChiSquareDistribution(double degreesOfFreedom)
     Create a new chi-square distribution with the given degrees of freedom.
public  ExponentialDistributioncreateExponentialDistribution(double mean)
     Create a new exponential distribution with the given degrees of freedom.
public  FDistributioncreateFDistribution(double numeratorDegreesOfFreedom, double denominatorDegreesOfFreedom)
     Create a new F-distribution with the given degrees of freedom.
public  GammaDistributioncreateGammaDistribution(double alpha, double beta)
     Create a new gamma distribution the given shape and scale parameters.
public  HypergeometricDistributioncreateHypergeometricDistribution(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.
public  NormalDistributioncreateNormalDistribution(double mean, double sd)
     Create a new normal distribution with the given mean and standard deviation.
public  NormalDistributioncreateNormalDistribution()
     Create a new normal distribution with the mean zero and standard deviation one.
public  PoissonDistributioncreatePoissonDistribution(double lambda)
     Create a new Poisson distribution with poisson parameter lambda.
public  TDistributioncreateTDistribution(double degreesOfFreedom)
     Create a new t distribution with the given degrees of freedom.
Parameters:
  degreesOfFreedom - degrees of freedom a new t distribution.


Constructor Detail
DistributionFactoryImpl
public DistributionFactoryImpl()(Code)
Default constructor. Package scope to prevent unwanted instantiation.




Method Detail
createBinomialDistribution
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



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



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



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

lambda must be postive; otherwise an IllegalArgumentException is thrown.
Parameters:
  lambda - poisson parameter a new Poisson distribution
throws:
  IllegalArgumentException - if lambda ≤ 0




createTDistribution
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.



Methods inherited from org.apache.commons.math.distribution.DistributionFactory
abstract public BinomialDistribution createBinomialDistribution(int numberOfTrials, double probabilityOfSuccess)(Code)(Java Doc)
public CauchyDistribution createCauchyDistribution(double median, double scale)(Code)(Java Doc)
abstract public ChiSquaredDistribution createChiSquareDistribution(double degreesOfFreedom)(Code)(Java Doc)
abstract public ExponentialDistribution createExponentialDistribution(double mean)(Code)(Java Doc)
abstract public FDistribution createFDistribution(double numeratorDegreesOfFreedom, double denominatorDegreesOfFreedom)(Code)(Java Doc)
abstract public GammaDistribution createGammaDistribution(double alpha, double beta)(Code)(Java Doc)
abstract public HypergeometricDistribution createHypergeometricDistribution(int populationSize, int numberOfSuccesses, int sampleSize)(Code)(Java Doc)
abstract public NormalDistribution createNormalDistribution(double mean, double sd)(Code)(Java Doc)
abstract public NormalDistribution createNormalDistribution()(Code)(Java Doc)
abstract public PoissonDistribution createPoissonDistribution(double lambda)(Code)(Java Doc)
abstract public TDistribution createTDistribution(double degreesOfFreedom)(Code)(Java Doc)
public WeibullDistribution createWeibullDistribution(double alpha, double beta)(Code)(Java Doc)
public static DistributionFactory newInstance()(Code)(Java Doc)

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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