Uses of Class
cern.jet.random.AbstractDistribution
Packages that use AbstractDistribution
Package
Description
Large variety of probability distributions featuring high performance generation
of random numbers, CDF's and PDF's.
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Uses of AbstractDistribution in cern.jet.random
Subclasses of AbstractDistribution in cern.jet.randomModifier and TypeClassDescriptionclassAbstract base class for all continous distributions.classAbstract base class for all discrete distributions.classBeta distribution; math definition and animated definition.classBinomial distribution; See the math definition and animated definition.classBreitWigner (aka Lorentz) distribution; See the math definition.classMean-square BreitWigner distribution; See the math definition.classChiSquare distribution; See the math definition and animated definition.classEmpirical distribution.classDiscrete Empirical distribution (pdf's can be specified).classExponential Distribution (aka Negative Exponential Distribution); See the math definition animated definition.classExponential Power distribution.classclassHyperbolic distribution.classHyperGeometric distribution; See the math definition The hypergeometric distribution with parameters N, n and s is the probability distribution of the random variable X, whose value is the number of successes in a sample of n items from a population of size N that has s 'success' items and N - s 'failure' items.classLogarithmic distribution.classNegative Binomial distribution; See the math definition.classNormal (aka Gaussian) distribution; See the math definition and animated definition.classPoisson distribution (quick); See the math definition and animated definition.classPoisson distribution; See the math definition and animated definition.classStudentT distribution (aka T-distribution); See the math definition and animated definition.classUniform distribution; Math definition and animated definition.classVon Mises distribution.classZeta distribution.Methods in cern.jet.random with parameters of type AbstractDistributionModifier and TypeMethodDescriptionstatic voidBenchmark.randomInstance(int size, boolean print, AbstractDistribution dist) generatesrandom numbers from static voidBenchmark.test(int size, AbstractDistribution distribution) Prints the first size random numbers generated by the distribution.static voidBenchmark.test2(int size, AbstractDistribution distribution) Prints the first size random numbers generated by the distribution.static voidBenchmark.test2(int size, AbstractDistribution a, AbstractDistribution b) Prints the first size random numbers generated by the distribution.