SSJ
3.3.1
Stochastic Simulation in Java
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This class implements gamma random variate generators using a rejection method with loglogistic envelopes, from [33] . More...
Public Member Functions | |
GammaRejectionLoglogisticGen (RandomStream s, RandomStream aux, double alpha, double lambda) | |
Creates a gamma random variate generator with parameters \(\alpha=\) alpha and \(\lambda=\) lambda , using main stream s and auxiliary stream aux . More... | |
GammaRejectionLoglogisticGen (RandomStream s, double alpha, double lambda) | |
Creates a gamma random variate generator with parameters \(\alpha=\) alpha and \(\lambda=\) lambda , using stream s . | |
GammaRejectionLoglogisticGen (RandomStream s, RandomStream aux, GammaDist dist) | |
Creates a new generator object for the gamma distribution dist , using main stream s and auxiliary stream aux . More... | |
GammaRejectionLoglogisticGen (RandomStream s, GammaDist dist) | |
Creates a new generator object for the gamma distribution dist and stream s for both the main and auxiliary stream. | |
RandomStream | getAuxStream () |
Returns the auxiliary stream associated with this object. | |
double | nextDouble () |
Public Member Functions inherited from GammaGen | |
GammaGen (RandomStream s, double alpha, double lambda) | |
Creates a gamma random variate generator with parameters \(\alpha=\) alpha and \(\lambda\) = lambda , using stream s . | |
GammaGen (RandomStream s, double alpha) | |
Creates a gamma random variate generator with parameters \(\alpha=\) alpha and \(\lambda= 1\), using stream s . | |
GammaGen (RandomStream s, GammaDist dist) | |
Creates a new generator object for the gamma distribution dist and stream s . | |
double | getAlpha () |
Returns the parameter \(\alpha\) of this object. | |
double | getLambda () |
Returns the parameter \(\lambda\) 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, RandomStream aux, double alpha, double lambda) |
Generates a new gamma variate with parameters \(\alpha= \) alpha and \(\lambda= \) lambda , using main stream s and auxiliary stream aux . | |
static double | nextDouble (RandomStream s, double alpha, double lambda) |
Same as nextDouble(s, s, alpha, lambda). | |
Static Public Member Functions inherited from GammaGen | |
static double | nextDouble (RandomStream s, double alpha, double lambda) |
Generates a new gamma random variate with parameters \(\alpha= \) alpha and \(\lambda= \) lambda , using stream s . | |
Additional Inherited Members | |
Protected Member Functions inherited from GammaGen | |
void | setParams (double alpha, double lambda) |
Sets the parameter \(\alpha\) and \(\lambda\) of this object. | |
Protected Attributes inherited from GammaGen | |
double | alpha = -1.0 |
double | lambda = -1.0 |
Protected Attributes inherited from RandomVariateGen | |
RandomStream | stream |
Distribution | dist |
This class implements gamma random variate generators using a rejection method with loglogistic envelopes, from [33] .
For each gamma variate, the first two uniforms are taken from the main stream and all additional uniforms (after the first rejection) are obtained from the auxiliary stream.
GammaRejectionLoglogisticGen | ( | RandomStream | s, |
RandomStream | aux, | ||
double | alpha, | ||
double | lambda | ||
) |
Creates a gamma random variate generator with parameters \(\alpha=\) alpha
and \(\lambda=\) lambda
, using main stream s
and auxiliary stream aux
.
The auxiliary stream is used when a random number of uniforms is required for a rejection-type generation method.
GammaRejectionLoglogisticGen | ( | RandomStream | s, |
RandomStream | aux, | ||
GammaDist | dist | ||
) |
Creates a new generator object for the gamma distribution dist
, using main stream s
and auxiliary stream aux
.
The auxiliary stream is used when a random number of uniforms is required for a rejection-type generation method.