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java.lang.Objectcern.colt.PersistentObject
cern.jet.random.AbstractDistribution
cern.jet.random.AbstractDiscreteDistribution
cern.jet.random.Binomial
Binomial distribution; See the math definition and animated definition.
p(x) = k * p^k * (1-p)^(n-k) with k = n! / (k! * (n-k)!).
Instance methods operate on a user supplied uniform random number generator; they are unsynchronized.
Implementation: High performance implementation. Acceptance Rejection/Inversion method. This is a port of RandBinomial used in CLHEP 1.4.0 (C++). CLHEP's implementation is, in turn, based on
V. Kachitvichyanukul, B.W. Schmeiser (1988): Binomial random variate generation, Communications of the ACM 31, 216-222.
| Field Summary | 
| Fields inherited from class cern.colt.PersistentObject | 
| serialVersionUID | 
| Constructor Summary | |
| Binomial(int n,
         double p,
         RandomEngine randomGenerator)Constructs a binomial distribution. | |
| Method Summary | |
|  double | cdf(int k)Returns the cumulative distribution function. | 
|  int | nextInt()Returns a random number from the distribution. | 
|  int | nextInt(int n,
        double p)Returns a random number from the distribution with the given parameters n and p; bypasses the internal state. | 
|  double | pdf(int k)Returns the probability distribution function. | 
|  void | setNandP(int n,
         double p)Sets the parameters number of trials and the probability of success. | 
| static int | staticNextInt(int n,
              double p)Returns a random number from the distribution with the given parameters n and p. | 
|  String | toString()Returns a String representation of the receiver. | 
| Methods inherited from class cern.jet.random.AbstractDiscreteDistribution | 
| nextDouble | 
| Methods inherited from class cern.jet.random.AbstractDistribution | 
| apply, apply, clone, makeDefaultGenerator | 
| Methods inherited from class java.lang.Object | 
| equals, getClass, hashCode, notify, notifyAll, wait, wait, wait | 
| Constructor Detail | 
public Binomial(int n,
                double p,
                RandomEngine randomGenerator)
n - the number of trials (also known as sample size).p - the probability of success.randomGenerator - a uniform random number generator.
IllegalArgumentException - if n*Math.min(p,1-p) <= 0.0| Method Detail | 
public double cdf(int k)
public int nextInt()
nextInt in class AbstractDiscreteDistribution
public int nextInt(int n,
                   double p)
n - the number of trialsp - the probability of success.
IllegalArgumentException - if n*Math.min(p,1-p) <= 0.0public double pdf(int k)
public void setNandP(int n,
                     double p)
n - the number of trialsp - the probability of success.
IllegalArgumentException - if n*Math.min(p,1-p) <= 0.0
public static int staticNextInt(int n,
                                double p)
n - the number of trialsp - the probability of success.
IllegalArgumentException - if n*Math.min(p,1-p) <= 0.0public String toString()
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