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package jhplot.math.num.random;
/**
*
* A random variable generator for the Weibull distribution.
*
*
* References:
*
* - Wikipedia contributors, "Weibull Distribution," Wikipedia, The Free
* Encyclopedia,
* http://en.wikipedia.org/wiki/Weibull_distribution
*
*
*
* @since 1.3
* @version $Revision: 1.3 $ $Date: 2007/11/08 17:37:57 $
*/
public class WeibullRandomVariable extends AbstractContinuousRandomVariable {
/** the location parameter. */
private double location;
/** The scale parameter. */
private double scale;
/** The shape parameter. */
private double shape;
/**
* Default constructor. Shape and scale are both set to 1 and location is set to 0.
*/
public WeibullRandomVariable() {
this(1.0, 1.0, 0.0);
}
/**
* Create a rnadom variable with the given shape and scale values. Location is set to 0.
*
* @param a the shape parameter.
* @param b the scale parameter.
*/
public WeibullRandomVariable(double a, double b) {
this(a, b, 0.0, new RandomRNG());
}
/**
* Create a random variable with the given parameters.
*
* @param a the shape parameter.
* @param b the scale parameter.
* @param c the location parameter.
*/
public WeibullRandomVariable(double a, double b, double c) {
this(a, b, c, new RandomRNG());
}
/**
* Create a random variable with the given parameters.
*
* @param a the shape parameter.
* @param b the scale parameter.
* @param c the location parameter.
* @param source the source generator.
*/
public WeibullRandomVariable(double a, double b, double c, RNG source) {
super(source);
setShape(a);
setScale(b);
setLocation(c);
}
/**
* Create a random variable with the given shape and scale values. Location is set to 0.
*
* @param a the shape parameter.
* @param b the scale parameter.
* @param source the source generator.
*/
public WeibullRandomVariable(double a, double b, RNG source) {
this(a, b, 0.0, source);
}
/**
* Access the next random variable using the given generator.
*
* @param shape the shape parameter.
* @param scale the scale parameter.
* @param location the location parameter.
* @param source the source generator.
* @return the next random variable.
*/
public static double nextRandomVariable(double shape, double scale,
double location, RNG source) {
double u;
do {
u = source.nextRandomNumber();
} while (u <= 0.0);
return Math.pow(-Math.log(u), 1.0 / shape) * scale + location;
}
/**
* Access the location value.
*
* @return the location.
*/
private double getLocation() {
return location;
}
/**
* Access the scale parameter.
*
* @return the scale parameter.
*/
private double getScale() {
return scale;
}
/**
* Access the shape parameter.
*
* @return the shape parameter.
*/
private double getShape() {
return shape;
}
/**
* Access the next random variable from this generator.
*
* @return the next random variable.
*/
public double nextRandomVariable() {
return nextRandomVariable(getShape(), getScale(), getLocation(),
getSource());
}
/**
* Modify the location value.
*
* @param l the new location value.
*/
private void setLocation(double l) {
if (Double.isNaN(l)) {
throw new IllegalArgumentException(
"location parameter must be a number.");
}
this.location = l;
}
/**
* Modify the scale parameter.
*
* @param b the new scale value.
*/
private void setScale(double b) {
if (b <= 0.0 || Double.isNaN(b)) {
throw new IllegalArgumentException("scale must be positive.");
}
this.scale = b;
}
/**
* Modify the shape parameter.
*
* @param a the new shape value.
*/
private void setShape(double a) {
if (a <= 0.0 || Double.isNaN(a)) {
throw new IllegalArgumentException("shape must be positive.");
}
this.shape = a;
}
}