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 TypeClassDescriptionclass
Abstract base class for all continous distributions.class
Abstract base class for all discrete distributions.class
Beta distribution; math definition and animated definition.class
Binomial distribution; See the math definition and animated definition.class
BreitWigner (aka Lorentz) distribution; See the math definition.class
Mean-square BreitWigner distribution; See the math definition.class
ChiSquare distribution; See the math definition and animated definition.class
Empirical distribution.class
Discrete Empirical distribution (pdf's can be specified).class
Exponential Distribution (aka Negative Exponential Distribution); See the math definition animated definition.class
Exponential Power distribution.class
class
Hyperbolic distribution.class
HyperGeometric 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.class
Logarithmic distribution.class
Negative Binomial distribution; See the math definition.class
Normal (aka Gaussian) distribution; See the math definition and animated definition.class
Poisson distribution (quick); See the math definition and animated definition.class
Poisson distribution; See the math definition and animated definition.class
StudentT distribution (aka T-distribution); See the math definition and animated definition.class
Uniform distribution; Math definition and animated definition.class
Von Mises distribution.class
Zeta distribution.Methods in cern.jet.random with parameters of type AbstractDistributionModifier and TypeMethodDescriptionstatic void
Benchmark.randomInstance
(int size, boolean print, AbstractDistribution dist) generatesrandom numbers from static void
Benchmark.test
(int size, AbstractDistribution distribution) Prints the first size random numbers generated by the distribution.static void
Benchmark.test2
(int size, AbstractDistribution distribution) Prints the first size random numbers generated by the distribution.static void
Benchmark.test2
(int size, AbstractDistribution a, AbstractDistribution b) Prints the first size random numbers generated by the distribution.