umontreal.iro.lecuyer.randvar
Class LoglogisticGen
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- umontreal.iro.lecuyer.randvar.RandomVariateGen
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- umontreal.iro.lecuyer.randvar.LoglogisticGen
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public class LoglogisticGen extends RandomVariateGen
This class implements random variate generators for the log-logistic distribution with shape parameter α > 0 and scale parameter β > 0. The density function of this distribution isf (x) = (α(x/β)α-1)/(β[1 + (x/β)α]2) for x > 0.
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Constructor Summary
Constructors Constructor and Description LoglogisticGen(RandomStream s, double alpha, double beta)Creates a log-logistic random variate generator with parameters α = alpha and β = beta, using stream s.LoglogisticGen(RandomStream s, LoglogisticDist dist)Creates a new generator for the distribution dist, using stream s.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method and Description doublegetAlpha()Returns the parameter α of this object.doublegetBeta()Returns the parameter β of this object.static doublenextDouble(RandomStream s, double alpha, double beta)Generates a variate from the log-logistic distribution with shape parameter α > 0 and scale parameter β > 0.-
Methods inherited from class umontreal.iro.lecuyer.randvar.RandomVariateGen
getDistribution, getStream, nextArrayOfDouble, nextDouble, setStream, toString
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Constructor Detail
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LoglogisticGen
public LoglogisticGen(RandomStream s, double alpha, double beta)
Creates a log-logistic random variate generator with parameters α = alpha and β = beta, using stream s.
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LoglogisticGen
public LoglogisticGen(RandomStream s, LoglogisticDist dist)
Creates a new generator for the distribution dist, using stream s.
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Method Detail
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nextDouble
public static double nextDouble(RandomStream s, double alpha, double beta)
Generates a variate from the log-logistic distribution with shape parameter α > 0 and scale parameter β > 0.
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getAlpha
public double getAlpha()
Returns the parameter α of this object.
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getBeta
public double getBeta()
Returns the parameter β of this object.
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