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java.lang.Objectumontreal.iro.lecuyer.randvar.RandomVariateGen
umontreal.iro.lecuyer.randvar.FoldedNormalGen
public class FoldedNormalGen
This class implements methods for generating random variates from the folded normal distribution with parameters μ >= 0 and σ > 0. The density is
| Constructor Summary | |
|---|---|
FoldedNormalGen(RandomStream s,
double mu,
double sigma)
Creates a new folded normal generator with parameters μ = mu and σ = sigma, using stream s. |
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FoldedNormalGen(RandomStream s,
FoldedNormalDist dist)
Creates a new generator for the distribution dist, using stream s. |
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| Method Summary | |
|---|---|
double |
getMu()
Returns the parameter μ of this object. |
double |
getSigma()
Returns the parameter σ of this object. |
static double |
nextDouble(RandomStream s,
double mu,
double sigma)
Generates a variate from the folded normal distribution with parameters μ = mu and σ = sigma, using stream s. |
| Methods inherited from class umontreal.iro.lecuyer.randvar.RandomVariateGen |
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getDistribution, getStream, nextArrayOfDouble, nextDouble, setStream, toString |
| Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
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public FoldedNormalGen(RandomStream s,
double mu,
double sigma)
public FoldedNormalGen(RandomStream s,
FoldedNormalDist dist)
| Method Detail |
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public static double nextDouble(RandomStream s,
double mu,
double sigma)
s - the random streammu - the parameter musigma - the parameter sigma
public double getMu()
public double getSigma()
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SSJ V. 2.6. |
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