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

This class implements random variate generators for the Fisher F distribution with \(n\) and \(m\) degrees of freedom, where \(n\) and \(m\) are positive integers. More...

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

 FisherFGen (RandomStream s, int n, int m)
 Creates a Fisher F random variate generator with \(n\) and \(m\) degrees of freedom, using stream s.
 
 FisherFGen (RandomStream s, FisherFDist dist)
 Creates a new generator for the distribution dist, using stream s.
 
int getN ()
 Returns the parameter \(n\) of this object.
 
int getM ()
 Returns the parameter \(p\) of this object.
 
- 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 double nextDouble (RandomStream s, int n, int m)
 Generates a variate from the Fisher F distribution with \(n\) and \(m\) degrees of freedom, using stream s.
 

Protected Member Functions

void setParams (int n, int m)
 Sets the parameters \(n\) and \(m\) of this object.
 

Protected Attributes

int n = -1
 
int m = -1
 
- Protected Attributes inherited from RandomVariateGen
RandomStream stream
 
Distribution dist
 

Detailed Description

This class implements random variate generators for the Fisher F distribution with \(n\) and \(m\) degrees of freedom, where \(n\) and \(m\) are positive integers.

The density function of this distribution is

\[ f(x) = \frac{\Gamma({(n + m)}/2)n^{n/2}m^{m/2}}{\Gamma(n/2)\Gamma(m/2)} \frac{x^{{(n - 2)}/2}}{(m + nx)^{{(n + m)}/2}}, \qquad\mbox{for } x > 0 \tag{FisherF} \]


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