SSJ  3.3.1
Stochastic Simulation in Java
Public Member Functions | Static Public Member Functions | Static Package Functions | List of all members

This class implements random variate generators having the Poisson distribution (see PoissonGen ). More...

Inheritance diagram for PoissonTIACGen:
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Collaboration diagram for PoissonTIACGen:
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Public Member Functions

 PoissonTIACGen (RandomStream s, double lambda)
 Creates a Poisson random variate generator with parameter \(\lambda= \) lambda, using stream s.
 
 PoissonTIACGen (RandomStream s, PoissonDist dist)
 Creates a new random variate generator using the Poisson distribution dist and stream s.
 
int nextInt ()
 
- Public Member Functions inherited from PoissonGen
 PoissonGen (RandomStream s, double lambda)
 Creates a Poisson random variate generator with parameter \(\lambda= \) lambda, using stream s.
 
 PoissonGen (RandomStream s, PoissonDist dist)
 Creates a new random variate generator using the Poisson distribution dist and stream s.
 
double getLambda ()
 Returns the \(\lambda\) associated with this object.
 
- Public Member Functions inherited from RandomVariateGenInt
 RandomVariateGenInt (RandomStream s, DiscreteDistributionInt dist)
 Creates a new random variate generator for the discrete distribution dist, using stream s. More...
 
int nextInt ()
 Generates a random number (an integer) from the discrete distribution contained in this object. More...
 
void nextArrayOfInt (int[] v, int start, int n)
 Generates n random numbers from the discrete distribution contained in this object. More...
 
int [] nextArrayOfInt (int n)
 Generates n random numbers from the discrete distribution contained in this object, and returns them in a new array of size n. More...
 
DiscreteDistributionInt getDistribution ()
 Returns the umontreal.ssj.probdist.DiscreteDistributionInt used by this generator. More...
 
- Public Member Functions inherited from RandomVariateGen
 RandomVariateGen (RandomStream s, Distribution dist)
 Creates a new random variate generator from the distribution dist, using stream s. More...
 
double nextDouble ()
 Generates a random number from the continuous distribution contained in this object. More...
 
void nextArrayOfDouble (double[] v, int start, int n)
 Generates n random numbers from the continuous distribution contained in this object. More...
 
double [] nextArrayOfDouble (int n)
 Generates n random numbers from the continuous distribution contained in this object, and returns them in a new array of size n. More...
 
RandomStream getStream ()
 Returns the umontreal.ssj.rng.RandomStream used by this generator. More...
 
void setStream (RandomStream stream)
 Sets the umontreal.ssj.rng.RandomStream used by this generator to stream.
 
Distribution getDistribution ()
 Returns the umontreal.ssj.probdist.Distribution used by this generator. More...
 
String toString ()
 Returns a String containing information about the current generator.
 

Static Public Member Functions

static int nextInt (RandomStream s, double lambda)
 A static method for generating a random variate from a Poisson distribution with parameter \(\lambda\) = lambda.
 
- Static Public Member Functions inherited from PoissonGen
static int nextInt (RandomStream s, double lambda)
 A static method for generating a random variate from a Poisson distribution with parameter \(\lambda\) = lambda.
 

Static Package Functions

 [static initializer]
 

Additional Inherited Members

- Protected Member Functions inherited from PoissonGen
void setParams (double lam)
 Sets the parameter \(\lambda= \) lam of this object.
 
- Protected Attributes inherited from PoissonGen
double lambda
 
- Protected Attributes inherited from RandomVariateGen
RandomStream stream
 
Distribution dist
 

Detailed Description

This class implements random variate generators having the Poisson distribution (see PoissonGen ).

Uses the tabulated inversion combined with the acceptance complement (TIAC) method of [3] . The implementation is adapted from UNURAN [166] .


The documentation for this class was generated from the following file: