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## umontreal.iro.lecuyer.randvar
Class LoglogisticGen

    java.lang.Object
      umontreal.iro.lecuyer.randvar.RandomVariateGen
          umontreal.iro.lecuyer.randvar.LoglogisticGen

    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 is

f (x) = (α(x/β)α-1)/(β[1 + (x/β)α]2) for x > 0.

Constructor Summary
`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`.

Method Summary
`double` | `getAlpha()` Returns the parameter α of this object.
`double` | `getBeta()` Returns the parameter β of this object.
`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.

Methods inherited from class umontreal.iro.lecuyer.randvar.RandomVariateGen
`getDistribution, getStream, nextArrayOfDouble, nextDouble, setStream`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### 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`.

### LoglogisticGen

    public LoglogisticGen(RandomStream s,
                          LoglogisticDist dist)

  Creates a new generator for the distribution `dist`, using stream `s`.

Method Detail

### 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.

### getAlpha

    public double getAlpha()

  Returns the parameter α of this object.

### getBeta

    public double getBeta()

  Returns the parameter β of this object.

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To submit a bug or ask questions, send an e-mail to Pierre L'Ecuyer.