Java Doc for HypergeometricDistributionImpl.java in  » Science » Apache-commons-math-1.1 » org » apache » commons » math » distribution » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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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.AbstractDistribution       org.apache.commons.math.distribution.AbstractIntegerDistribution          org.apache.commons.math.distribution.HypergeometricDistributionImpl HypergeometricDistributionImpl public class HypergeometricDistributionImpl extends AbstractIntegerDistribution implements HypergeometricDistribution,Serializable(Code) The default implementation of HypergeometricDistribution . version:    $Revision: 348888 $ $Date: 2005-11-24 23:21:25 -0700 (Thu, 24 Nov 2005) $ Constructor Summary public   HypergeometricDistributionImpl(int populationSize, int numberOfSuccesses, int sampleSize)      Construct a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size. Method Summary public  double cumulativeProbability(int x)      For this disbution, X, this method returns P(X ≤ x). Parameters:   x - the value at which the PDF is evaluated. protected  int getDomainLowerBound(double p)      Access the domain value lower bound, based on p, used to bracket a PDF root. protected  int getDomainUpperBound(double p)      Access the domain value upper bound, based on p, used to bracket a PDF root. public  int getNumberOfSuccesses()      Access the number of successes. public  int getPopulationSize()      Access the population size. public  int getSampleSize()      Access the sample size. public  double probability(int x)      For this disbution, X, this method returns P(X = x). Parameters:   x - the value at which the PMF is evaluated. public  void setNumberOfSuccesses(int num)      Modify the number of successes. public  void setPopulationSize(int size)      Modify the population size. public  void setSampleSize(int size)      Modify the sample size. public  double upperCumulativeProbability(int x)      For this disbution, X, this method returns P(X ≥ x). Parameters:   x - the value at which the CDF is evaluated. Constructor Detail HypergeometricDistributionImpl public HypergeometricDistributionImpl(int populationSize, int numberOfSuccesses, int sampleSize)(Code) Construct 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. Method Detail cumulativeProbability public double cumulativeProbability(int x)(Code) For this disbution, X, this method returns P(X ≤ x). Parameters:   x - the value at which the PDF is evaluated. PDF for this distribution. getDomainLowerBound protected int getDomainLowerBound(double p)(Code) Access the domain value lower bound, based on p, used to bracket a PDF root. Parameters:   p - the desired probability for the critical value domain value lower bound, i.e.P(X < lower bound) < p getDomainUpperBound protected int getDomainUpperBound(double p)(Code) Access the domain value upper bound, based on p, used to bracket a PDF root. Parameters:   p - the desired probability for the critical value domain value upper bound, i.e.P(X < upper bound) > p getNumberOfSuccesses public int getNumberOfSuccesses()(Code) Access the number of successes. the number of successes. getPopulationSize public int getPopulationSize()(Code) Access the population size. the population size. getSampleSize public int getSampleSize()(Code) Access the sample size. the sample size. probability public double probability(int x)(Code) For this disbution, X, this method returns P(X = x). Parameters:   x - the value at which the PMF is evaluated. PMF for this distribution. setNumberOfSuccesses public void setNumberOfSuccesses(int num)(Code) Modify the number of successes. Parameters:   num - the new number of successes. throws:   IllegalArgumentException - if num is negative. setPopulationSize public void setPopulationSize(int size)(Code) Modify the population size. Parameters:   size - the new population size. throws:   IllegalArgumentException - if size is not positive. setSampleSize public void setSampleSize(int size)(Code) Modify the sample size. Parameters:   size - the new sample size. throws:   IllegalArgumentException - if size is negative. upperCumulativeProbability public double upperCumulativeProbability(int x)(Code) For this disbution, X, this method returns P(X ≥ x). Parameters:   x - the value at which the CDF is evaluated. upper tail CDF for this distribution. since:    1.1 Methods inherited from org.apache.commons.math.distribution.AbstractIntegerDistribution public double cumulativeProbability(double x) throws MathException(Code)(Java Doc) abstract public double cumulativeProbability(int x) throws MathException(Code)(Java Doc) public double cumulativeProbability(int x0, int x1) throws MathException(Code)(Java Doc) abstract protected int getDomainLowerBound(double p)(Code)(Java Doc) abstract protected int getDomainUpperBound(double p)(Code)(Java Doc) public int inverseCumulativeProbability(double p) throws MathException(Code)(Java Doc) public double probability(double x)(Code)(Java Doc) Methods inherited from org.apache.commons.math.distribution.AbstractDistribution public double cumulativeProbability(double x0, double x1) throws MathException(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)