public class StableRandomGenerator extends Object implements NormalizedRandomGenerator
This class provides a stable normalized random generator. It samples from a stable distribution with location parameter 0 and scale 1.
The implementation uses the Chambers-Mallows-Stuck method as described in Handbook of computational statistics: concepts and methods by James E. Gentle, Wolfgang Härdle, Yuichi Mori.
| Constructor and Description |
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StableRandomGenerator(RandomGenerator generator,
double alpha,
double beta)
Create a new generator.
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public StableRandomGenerator(RandomGenerator generator, double alpha, double beta) throws NullArgumentException, OutOfRangeException
generator - underlying random generator to usealpha - Stability parameter. Must be in range (0, 2]beta - Skewness parameter. Must be in range [-1, 1]NullArgumentException - if generator is nullOutOfRangeException - if alpha <= 0 or alpha > 2
or beta < -1 or beta > 1public double nextNormalizedDouble()
nextNormalizedDouble in interface NormalizedRandomGeneratorCopyright © 2003–2016 The Apache Software Foundation. All rights reserved.