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package jhplot.math.num.random;
/**
*
* A random variable generator for the Bernoulli distribution.
*
*
* References:
*
* - Wikipedia contributors, "Bernoulli Distribution," Wikipedia, The Free
* Encyclopedia,
* http://en.wikipedia.org/wiki/Bernoulli_distribution
*
*
*
* @since 1.3
* @version $Revision: 1.3 $ $Date: 2007/11/18 23:51:19 $
*/
public class BernoulliRandomVariable extends AbstractDiscreteRandomVariable {
/** the probability of success. */
private double probabilityOfSuccess;
/**
* Default constructor. The probability of success is set to 0.5.
*/
public BernoulliRandomVariable() {
this(0.5);
}
/**
* Create a random variable with the given probability of success.
*
* @param p the probability of success.
*/
public BernoulliRandomVariable(double p) {
this(p, new RandomRNG());
}
/**
* Create a random variable with the given probability of success and source
* generator.
*
* @param p the probability of success.
* @param source the source generator.
*/
public BernoulliRandomVariable(double p, RNG source) {
super(source);
setProbabilityOfSuccess(p);
}
/**
* Access the next random variable using the given generator.
*
* @param p the probability of success.
* @param source the source generator.
* @return the next random variable.
*/
public static int nextRandomVariable(double p, RNG source) {
return (p <= source.nextRandomNumber()) ? 1 : 0;
}
/**
* Access the probability of success.
*
* @return the probability of success.
*/
private double getProbabilityOfSuccess() {
return probabilityOfSuccess;
}
/**
* Access the next random variable from this generator.
*
* @return the next random variable.
*/
public int nextRandomVariable() {
return nextRandomVariable(getProbabilityOfSuccess(), getSource());
}
/**
* Modify the probability of success.
*
* @param p the new probability of success.
*/
private void setProbabilityOfSuccess(double p) {
if (Double.isNaN(p) || p <= 0.0 || p >= 1.0) {
throw new IllegalArgumentException("probability of success must"
+ "be between 0.0 and 1.0, exclusive.");
}
this.probabilityOfSuccess = p;
}
}