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

This class implements methods for generating random variates from the lognormal distribution. More...

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

Public Member Functions

 LognormalGen (RandomStream s, double mu, double sigma)
 Creates a lognormal random variate generator with parameters.
 LognormalGen (RandomStream s)
 Creates a lognormal random variate generator with parameters.
 LognormalGen (RandomStream s, LognormalDist dist)
 Create a random variate generator for the lognormal distribution dist and 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 new variate from the lognormal distribution with parameters \(\mu= \) mu and \(\sigma= \) sigma, using stream s.

Protected Member Functions

void setParams (double mu, double sigma)
 Sets the parameters \(\mu\) and \(\sigma\) of this object.

Detailed Description

This class implements methods for generating random variates from the lognormal distribution.

Its density is

\[ f(x) = \frac{1}{\sqrt{2\pi}\sigma x} e^{-(\ln(x) - \mu)^2/(2\sigma^2)} \qquad\mbox{ for }x>0, \tag{flognormal} \]

where \(\sigma>0\).

The (non-static) nextDouble method simply calls inverseF on the lognormal distribution object. One can also generate a lognormal random variate \(X\) via

\[ \mbox{\texttt{X = Math.exp (NormalGen.nextDouble (s, mu, sigma))}}, \]

in which NormalGen can actually be replaced by any subclass of NormalGen.

Definition at line 48 of file LognormalGen.java.

Constructor & Destructor Documentation

◆ LognormalGen() [1/3]

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

Creates a lognormal random variate generator with parameters.

\(\mu=\) mu and \(\sigma=\) sigma, using stream s.

Definition at line 57 of file LognormalGen.java.

◆ LognormalGen() [2/3]

umontreal.ssj.randvar.LognormalGen.LognormalGen ( RandomStream s)

Creates a lognormal random variate generator with parameters.

\(\mu= 0\) and \(\sigma= 1\), using stream s.

Definition at line 67 of file LognormalGen.java.

◆ LognormalGen() [3/3]

umontreal.ssj.randvar.LognormalGen.LognormalGen ( RandomStream s,
LognormalDist dist )

Create a random variate generator for the lognormal distribution dist and stream s.

Definition at line 75 of file LognormalGen.java.

Member Function Documentation

◆ getMu()

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

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

Definition at line 93 of file LognormalGen.java.

◆ getSigma()

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

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

Definition at line 100 of file LognormalGen.java.

◆ nextDouble()

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

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

Definition at line 86 of file LognormalGen.java.

◆ setParams()

void umontreal.ssj.randvar.LognormalGen.setParams ( double mu,
double sigma )
protected

Sets the parameters \(\mu\) and \(\sigma\) of this object.

Definition at line 107 of file LognormalGen.java.


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