This class implements random variate generators for the inverse Gaussian distribution with location parameter \(\mu> 0\) and scale parameter. More...
Public Member Functions | |
| InverseGaussianGen (RandomStream s, double mu, double lambda) | |
| Creates an inverse Gaussian random variate generator with parameters \(\mu= \) mu and \(\lambda= \) lambda, using stream s. | |
| InverseGaussianGen (RandomStream s, InverseGaussianDist dist) | |
| Creates a new generator for the distribution dist, using stream s. | |
| double | getMu () |
| Returns the parameter \(\mu\) of this object. | |
| double | getLambda () |
| Returns the parameter \(\lambda\) 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 lambda) |
| Generates a variate from the inverse gaussian distribution with location parameter \(\mu> 0\) and scale parameter \(\lambda> 0\). | |
Protected Member Functions | |
| void | setParams (double mu, double lambda) |
| Sets the parameters \(\mu\) and \(\lambda\) of this object. | |
This class implements random variate generators for the inverse Gaussian distribution with location parameter \(\mu> 0\) and scale parameter.
\(\lambda> 0\). The density function of this distribution is
\[ f(x) = \sqrt{\frac{\lambda}{2\pi x^3}}\; e^{{-\lambda(x - \mu)^2}/{(2\mu^2x)}} \qquad\mbox{for } x > 0. \tag{fInverseGaussian} \]
Definition at line 43 of file InverseGaussianGen.java.
| umontreal.ssj.randvar.InverseGaussianGen.InverseGaussianGen | ( | RandomStream | s, |
| double | mu, | ||
| double | lambda ) |
Creates an inverse Gaussian random variate generator with parameters \(\mu= \) mu and \(\lambda= \) lambda, using stream s.
Definition at line 51 of file InverseGaussianGen.java.
| umontreal.ssj.randvar.InverseGaussianGen.InverseGaussianGen | ( | RandomStream | s, |
| InverseGaussianDist | dist ) |
Creates a new generator for the distribution dist, using stream s.
Definition at line 59 of file InverseGaussianGen.java.
| double umontreal.ssj.randvar.InverseGaussianGen.getLambda | ( | ) |
Returns the parameter \(\lambda\) of this object.
Definition at line 83 of file InverseGaussianGen.java.
| double umontreal.ssj.randvar.InverseGaussianGen.getMu | ( | ) |
Returns the parameter \(\mu\) of this object.
Definition at line 76 of file InverseGaussianGen.java.
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static |
Generates a variate from the inverse gaussian distribution with location parameter \(\mu> 0\) and scale parameter \(\lambda> 0\).
Definition at line 69 of file InverseGaussianGen.java.
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protected |
Sets the parameters \(\mu\) and \(\lambda\) of this object.
Definition at line 90 of file InverseGaussianGen.java.