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#Com.numericalmethod.suanshu.stats.random.rng.univariate.normal Classes and Interfaces - 9 results found.
| Name | Description | Type | Package | Framework |
| BoxMuller | The Box-Muller transform (by George Edward Pelham Box and Mervin Edgar Muller 1958) is a pseudo-random number sampling method for generating pairs of independent standard | Class | com.numericalmethod.suanshu.stats.random.rng.univariate.normal | SuanShu |
| ConcurrentStandardNormalRNG | Class | com.numericalmethod.suanshu.stats.random.rng.univariate.normal | SuanShu | |
| InverseTransformSamplingTruncatedNormalRNG | A random variate x defined as x = Phi^{-1}( Phi(alpha) + Ucdot(Phi(eta)-Phi(alpha)))sigma + mu | Class | com.numericalmethod.suanshu.stats.random.rng.univariate.normal.truncated | SuanShu |
| MarsagliaBray1964 | The polar method (attributed to George Marsaglia, 1964) is a pseudo-random number sampling method for generating a pair of independent standard normal random variables. | Class | com.numericalmethod.suanshu.stats.random.rng.univariate.normal | SuanShu |
| NormalRNG | This is a random number generator that generates random deviates according to the NormalSee Also:Wikipedia: Normal | Class | com.numericalmethod.suanshu.stats.random.rng.univariate.normal | SuanShu |
| RandomStandardNormalGenerator | Interface | com.numericalmethod.suanshu.stats.random.rng.univariate.normal | SuanShu | |
| StandardNormalRNG | An alias for Zignor2005 to provide a default implementation for sampling from the standard Normal distribution. | Class | com.numericalmethod.suanshu.stats.random.rng.univariate.normal | SuanShu |
| Ziggurat2000 | The Ziggurat algorithm is an algorithm for pseudo-random number sampling from the Normal distribution. | Class | com.numericalmethod.suanshu.stats.random.rng.univariate.normal | SuanShu |
| Zignor2005 | This is an improved version of the Ziggurat algorithm as proposed in the reference. | Class | com.numericalmethod.suanshu.stats.random.rng.univariate.normal | SuanShu |