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Java source code of 'jhplot.math.num.pdf.ContinuousDistribution'
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package jhplot.math.num.pdf;
import jhplot.math.num.Function;
import jhplot.math.num.NumericException;
import jhplot.math.num.root.BisectionRootFinder;
import jhplot.math.num.root.Bracket;
/**
* Base continuous distribution.
*
* @version $Revision: 1.2 $ $Date: 2007/10/25 04:44:10 $
*/
public abstract class ContinuousDistribution implements Distribution {
/**
* The CDF for this distribution. This method returns P(X < x).
*
* @param x the value at which the CDF is evaluated.
* @return CDF for this distribution.
* @throws NumericException if the cumulative probability can not be
* computed.
*/
public abstract double cumulativeProbability(double x)
throws NumericException;
/**
* The inverse CDF for this distribution. This method returns x such that,
* P(X < x) = p.
*
* @param p the cumulative probability.
* @return x
* @throws NumericException if the inverse cumulative probability can not be
* computed.
*/
public abstract double inverseCumulativeProbability(double p)
throws NumericException;
/**
* Generic means to compute inverse cumulative probability values. This
* method uses the bisection method to find inverse CDF values.
*
* @param p the cumulative probability.
* @param lower the global lower bound of the inverse CDF value.
* @param initial an initial guess at the inverse CDF value.
* @param upper the global upper bound of the inverse CDF value.
* @return x such that P(X < x) = p
* @throws NumericException if the inverse cumulative probability can not be
* computed.
*/
protected double findInverseCumulativeProbability(final double p,
double lower, double initial, double upper) throws NumericException {
Function f = new Function() {
public double evaluate(double x) throws NumericException {
return cumulativeProbability(x) - p;
}
};
Bracket b = new Bracket(f);
double[] bracket = b.bracketOut(lower, initial, upper);
BisectionRootFinder bisection = new BisectionRootFinder(f);
return bisection.findRoot(bracket[0], bracket[1]);
}
}