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SSJ V. 1.2.5. |
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java.lang.Objectumontreal.iro.lecuyer.randvar.RandomVariateGen
umontreal.iro.lecuyer.randvar.StudentGen
public class StudentGen
This class implements methods for generating random variates from the Student distribution with n > 0 degrees of freedom. Its density function is
GammaGen
.
No local copy of the parameter n is maintained in this class. The (non-static) nextDouble method simply calls inverseF on the distribution.
Constructor Summary | |
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StudentGen(RandomStream s,
StudentDist dist)
Creates a new generator for the Student 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,
int n)
Generates a new variate from the Student distribution with n = n degrees of freedom, 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 StudentGen(RandomStream s, StudentDist 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, int n)
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