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## Package org.apache.commons.math.distribution

Implementations of common discrete and continuous distributions.

See:
Description

Interface Summary
BinomialDistribution | The Binomial Distribution.
ChiSquaredDistribution | The Chi-Squared Distribution.
ContinuousDistribution | Base interface for continuous distributions.
DiscreteDistribution | Base interface for discrete distributions.
Distribution | Base interface for probability distributions.
ExponentialDistribution | The Exponential Distribution.
FDistribution | F-Distribution.
GammaDistribution | The Gamma Distribution.
HypergeometricDistribution | The Hypergeometric Distribution.
IntegerDistribution | Interface for discrete distributions of integer-valued random variables.
NormalDistribution | Normal (Gauss) Distribution.
PoissonDistribution | Interface representing the Poisson Distribution.
TDistribution | Student's t-Distribution.

Class Summary
AbstractContinuousDistribution | Base class for continuous distributions.
AbstractDistribution | Base class for probability distributions.
AbstractIntegerDistribution | Base class for integer-valued discrete distributions.
BinomialDistributionImpl | The default implementation of `BinomialDistribution`.
ChiSquaredDistributionImpl | The default implementation of `ChiSquaredDistribution`
DistributionFactory | This factory provids the means to create common statistical distributions.
DistributionFactoryImpl | A concrete distribution factory.
ExponentialDistributionImpl | The default implementation of `ExponentialDistribution`
FDistributionImpl | Default implementation of `FDistribution`.
GammaDistributionImpl | The default implementation of `GammaDistribution`
HypergeometricDistributionImpl | The default implementation of `HypergeometricDistribution`.
NormalDistributionImpl | Default implementation of `NormalDistribution`.
PoissonDistributionImpl | Implementation for the @link{PoissonDistribution}
TDistributionImpl | Default implementation of `TDistribution`.

## Package org.apache.commons.math.distribution Description

Implementations of common discrete and continuous distributions.

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