package JSci.maths.statistics;
import JSci.maths.SpecialMath;
/**
* The ChiSqrDistribution class provides an object for encapsulating chi-squared distributions.
* @version 1.0
* @author Jaco van Kooten
*/
public final class ChiSqrDistribution extends ProbabilityDistribution {
private double r;
// The ChiSqr and Gamma distributions are closely related.
private GammaDistribution gamma;
/**
* Constructs a chi-squared distribution.
* @param dgr degrees of freedom.
*/
public ChiSqrDistribution(double dgr) {
if(dgr<=0.0)
throw new OutOfRangeException("The degrees of freedom must be greater than zero.");
r=dgr;
gamma=new GammaDistribution(0.5*r);
}
/**
* Returns the degrees of freedom.
*/
public double getDegreesOfFreedom() {
return r;
}
/**
* Probability density function of a chi-squared distribution.
* @return the probability that a stochastic variable x has the value X, i.e. P(x=X).
*/
public double probability(double X) {
return 0.5*gamma.probability(0.5*X);
}
/**
* Cumulative chi-squared distribution function.
* @return the probability that a stochastic variable x is less then X, i.e. P(x<X).
*/
public double cumulative(double X) {
checkRange(X,0.0,Double.MAX_VALUE);
return SpecialMath.incompleteGamma(0.5*r,0.5*X);
}
/**
* Inverse of the cumulative chi-squared distribution function.
* @return the value X for which P(x<X).
*/
public double inverse(double probability) {
if(probability==1.0)
return Double.MAX_VALUE;
else
return 2.0*gamma.inverse(probability);
}
}
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