SSJ API Documentation
Stochastic Simulation in Java
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umontreal.ssj.randvar.FoldedNormalGen Class Reference

This class implements methods for generating random variates from the folded normal distribution with parameters \(\mu\ge0\) and. More...

Inheritance diagram for umontreal.ssj.randvar.FoldedNormalGen:
umontreal.ssj.randvar.RandomVariateGen

Public Member Functions

 FoldedNormalGen (RandomStream s, double mu, double sigma)
 Creates a new folded normal generator with parameters \(\mu=\) mu and \(\sigma=\) sigma, using stream s.
 FoldedNormalGen (RandomStream s, FoldedNormalDist dist)
 Creates a new generator for the distribution dist, using stream s.
double getMu ()
 Returns the parameter \(\mu\) of this object.
double getSigma ()
 Returns the parameter \(\sigma\) of this object.
Public Member Functions inherited from umontreal.ssj.randvar.RandomVariateGen
 RandomVariateGen (RandomStream s, Distribution dist)
 Creates a new random variate generator from the distribution dist, using stream s.
double nextDouble ()
 Generates a random number from the continuous distribution contained in this object.
void nextArrayOfDouble (double[] v, int start, int n)
 Generates n random numbers from the continuous distribution contained in this object.
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.
RandomStream getStream ()
 Returns the umontreal.ssj.rng.RandomStream used by this generator.
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.
String toString ()
 Returns a String containing information about the current generator.

Static Public Member Functions

static double nextDouble (RandomStream s, double mu, double sigma)
 Generates a variate from the folded normal distribution with parameters \(\mu= \) mu and \(\sigma= \) sigma, using stream s.

Detailed Description

This class implements methods for generating random variates from the folded normal distribution with parameters \(\mu\ge0\) and.

\(\sigma> 0\). The density is

\[ f(x) = \phi\left(\frac{x-\mu}{\sigma}\right) + \phi\left(\frac{-x-\mu}{\sigma}\right) \qquad\mbox{for } x \ge0, \tag{fFoldedNormal} \]

where \( \phi\) denotes the density function of a standard normal distribution.

Definition at line 45 of file FoldedNormalGen.java.

Constructor & Destructor Documentation

◆ FoldedNormalGen() [1/2]

umontreal.ssj.randvar.FoldedNormalGen.FoldedNormalGen ( RandomStream s,
double mu,
double sigma )

Creates a new folded normal generator with parameters \(\mu=\) mu and \(\sigma=\) sigma, using stream s.

Definition at line 55 of file FoldedNormalGen.java.

◆ FoldedNormalGen() [2/2]

umontreal.ssj.randvar.FoldedNormalGen.FoldedNormalGen ( RandomStream s,
FoldedNormalDist dist )

Creates a new generator for the distribution dist, using stream s.

Definition at line 63 of file FoldedNormalGen.java.

Member Function Documentation

◆ getMu()

double umontreal.ssj.randvar.FoldedNormalGen.getMu ( )

Returns the parameter \(\mu\) of this object.

Returns
the parameter mu

Definition at line 88 of file FoldedNormalGen.java.

◆ getSigma()

double umontreal.ssj.randvar.FoldedNormalGen.getSigma ( )

Returns the parameter \(\sigma\) of this object.

Returns
the parameter mu

Definition at line 97 of file FoldedNormalGen.java.

◆ nextDouble()

double umontreal.ssj.randvar.FoldedNormalGen.nextDouble ( RandomStream s,
double mu,
double sigma )
static

Generates a variate from the folded normal distribution with parameters \(\mu= \) mu and \(\sigma= \) sigma, using stream s.

Parameters
sthe random stream
muthe parameter mu
sigmathe parameter sigma
Returns
Generates a variate from the FoldedNormal distribution

Definition at line 79 of file FoldedNormalGen.java.


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