Package | Description |
---|---|
org.apache.commons.rng.sampling.distribution |
Distribution samplers
|
Modifier and Type | Interface | Description |
---|---|---|
interface |
NormalizedGaussianSampler |
Marker interface for a sampler that generates values from an N(0,1)
Gaussian distribution.
|
Modifier and Type | Class | Description |
---|---|---|
class |
AhrensDieterExponentialSampler |
Sampling from an exponential distribution.
|
class |
AhrensDieterMarsagliaTsangGammaSampler |
Sampling from the Gamma distribution.
|
class |
BoxMullerGaussianSampler |
Deprecated.
Since version 1.1. Please use
BoxMullerNormalizedGaussianSampler
and GaussianSampler instead. |
class |
BoxMullerLogNormalSampler |
Deprecated.
Since version 1.1. Please use
LogNormalSampler instead. |
class |
BoxMullerNormalizedGaussianSampler |
Box-Muller algorithm for sampling from Gaussian distribution with
mean 0 and standard deviation 1.
|
class |
ChengBetaSampler |
Utility class implementing Cheng's algorithms for beta distribution sampling.
|
class |
ContinuousUniformSampler |
Sampling from a uniform distribution.
|
class |
GaussianSampler |
Sampling from a Gaussian distribution with given mean and
standard deviation.
|
class |
InverseTransformContinuousSampler |
Distribution sampler that uses the
inversion method.
|
class |
InverseTransformParetoSampler |
Sampling from a Pareto distribution.
|
class |
LogNormalSampler |
Sampling from a log-normal distribution.
|
class |
MarsagliaNormalizedGaussianSampler |
Marsaglia polar method for sampling from a Gaussian distribution
with mean 0 and standard deviation 1.
|
class |
ZigguratNormalizedGaussianSampler |
Marsaglia and Tsang "Ziggurat" method for sampling from a Gaussian
distribution with mean 0 and standard deviation 1.
|
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