public class InverseTransformSamplingTruncatedNormalRNG extends Object implements RandomGammaGenerator
Constructor and Description |
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InverseTransformSamplingTruncatedNormalRNG(double a,
double b)
Construct a rng that samples from a truncated standard Normal distribution using inverse
sampling technique.
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InverseTransformSamplingTruncatedNormalRNG(double mu,
double sigma,
double a,
double b)
Construct a rng that samples from a truncated Normal distribution using inverse sampling
technique.
|
InverseTransformSamplingTruncatedNormalRNG(double mu,
double sigma,
double a,
double b,
RandomLongGenerator uniform)
Construct a rng that samples from a truncated Normal distribution using inverse sampling
technique.
|
Modifier and Type | Method and Description |
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double |
nextDouble()
Get the next random
double . |
void |
seed(long... seeds)
Seed the random number/vector/scenario generator to produce repeatable experiments.
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public InverseTransformSamplingTruncatedNormalRNG(double mu, double sigma, double a, double b, RandomLongGenerator uniform)
mu
- the meansigma
- the standard deviationa
- the lower boundb
- the upper bounduniform
- a uniform rlgpublic InverseTransformSamplingTruncatedNormalRNG(double mu, double sigma, double a, double b)
mu
- the meansigma
- the standard deviationa
- the lower boundb
- the upper boundpublic InverseTransformSamplingTruncatedNormalRNG(double a, double b)
a
- the lower boundb
- the upper boundpublic double nextDouble()
RandomNumberGenerator
double
.nextDouble
in interface RandomNumberGenerator
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