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java.lang.Objectumontreal.iro.lecuyer.randvar.RandomVariateGen
umontreal.iro.lecuyer.randvar.WeibullGen
public class WeibullGen
This class implements random variate generators for the Weibull distribution. Its density is
No local copy of the parameters λ and δ is maintained in this class. The (non-static) nextDouble method simply calls inverseF on the distribution.
Constructor Summary | |
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WeibullGen(RandomStream s,
WeibullDist dist)
Creates a new generator for the Weibull distribution dist and stream s. |
Method Summary | |
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double |
nextDouble()
Generates a random number from the continuous distribution contained in this object. |
static double |
nextDouble(RandomStream s,
double alpha,
double lambda,
double delta)
Uses inversion to generate a new variate from the Weibull distribution with parameters α = alpha, λ = lambda, and δ = delta, using stream s. |
Methods inherited from class umontreal.iro.lecuyer.randvar.RandomVariateGen |
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getDistribution, getStream, nextArrayOfDouble, setStream |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public WeibullGen(RandomStream s, WeibullDist dist)
Method Detail |
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public double nextDouble()
RandomVariateGen
inverseF
method of the distribution object.
Alternative generating methods are provided in subclasses.
nextDouble
in class RandomVariateGen
public static double nextDouble(RandomStream s, double alpha, double lambda, double delta)
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