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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.AbstractContinuousDistribution
         org.apache.commons.math.distribution.ChiSquaredDistributionImpl

ChiSquaredDistributionImpl
public class ChiSquaredDistributionImpl extends AbstractContinuousDistribution implements ChiSquaredDistribution,Serializable(Code)
The default implementation of ChiSquaredDistribution
version:
   $Revision: 348519 $ $Date: 2005-11-23 12:12:18 -0700 (Wed, 23 Nov 2005) $



Constructor Summary
public  ChiSquaredDistributionImpl(double degreesOfFreedom)
     Create a Chi-Squared distribution with the given degrees of freedom.

Method Summary
public  doublecumulativeProbability(double x)
     For this disbution, X, this method returns P(X < x).
Parameters:
  x - the value at which the CDF is evaluated.
public  doublegetDegreesOfFreedom()
     Access the degrees of freedom.
protected  doublegetDomainLowerBound(double p)
     Access the domain value lower bound, based on p, used to bracket a CDF root.
protected  doublegetDomainUpperBound(double p)
     Access the domain value upper bound, based on p, used to bracket a CDF root.
protected  doublegetInitialDomain(double p)
     Access the initial domain value, based on p, used to bracket a CDF root.
public  doubleinverseCumulativeProbability(double p)
     For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
public  voidsetDegreesOfFreedom(double degreesOfFreedom)
     Modify the degrees of freedom.


Constructor Detail
ChiSquaredDistributionImpl
public ChiSquaredDistributionImpl(double degreesOfFreedom)(Code)
Create a Chi-Squared distribution with the given degrees of freedom.
Parameters:
  degreesOfFreedom - degrees of freedom.




Method Detail
cumulativeProbability
public double cumulativeProbability(double x) throws MathException(Code)
For this disbution, X, this method returns P(X < x).
Parameters:
  x - the value at which the CDF is evaluated. CDF for this distribution.
throws:
  MathException - if the cumulative probability can not becomputed due to convergence or other numerical errors.



getDegreesOfFreedom
public double getDegreesOfFreedom()(Code)
Access the degrees of freedom. the degrees of freedom.



getDomainLowerBound
protected double getDomainLowerBound(double p)(Code)
Access the domain value lower bound, based on p, used to bracket a CDF root. This method is used by ChiSquaredDistributionImpl.inverseCumulativeProbability(double) to find critical values.
Parameters:
  p - the desired probability for the critical value domain value lower bound, i.e.P(X < lower bound) < p



getDomainUpperBound
protected double getDomainUpperBound(double p)(Code)
Access the domain value upper bound, based on p, used to bracket a CDF root. This method is used by ChiSquaredDistributionImpl.inverseCumulativeProbability(double) to find critical values.
Parameters:
  p - the desired probability for the critical value domain value upper bound, i.e.P(X < upper bound) > p



getInitialDomain
protected double getInitialDomain(double p)(Code)
Access the initial domain value, based on p, used to bracket a CDF root. This method is used by ChiSquaredDistributionImpl.inverseCumulativeProbability(double) to find critical values.
Parameters:
  p - the desired probability for the critical value initial domain value



inverseCumulativeProbability
public double inverseCumulativeProbability(double p) throws MathException(Code)
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.

Returns 0 for p=0 and Double.POSITIVE_INFINITY for p=1.
Parameters:
  p - the desired probability x, such that P(X < x) = p
throws:
  MathException - if the inverse cumulative probability can not becomputed due to convergence or other numerical errors.
throws:
  IllegalArgumentException - if p is not a validprobability.




setDegreesOfFreedom
public void setDegreesOfFreedom(double degreesOfFreedom)(Code)
Modify the degrees of freedom.
Parameters:
  degreesOfFreedom - the new degrees of freedom.



Methods inherited from org.apache.commons.math.distribution.AbstractContinuousDistribution
abstract protected double getDomainLowerBound(double p)(Code)(Java Doc)
abstract protected double getDomainUpperBound(double p)(Code)(Java Doc)
abstract protected double getInitialDomain(double p)(Code)(Java Doc)
public double inverseCumulativeProbability(double p) throws MathException(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)

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