| IBinomialDistribution |
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| IBoxedPDF |
A BoxedPDF is an approximation of an actual probability density function.
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| IChiSquareDistribution |
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| IContinousPDF |
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| IContinousPDFFactory |
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| IContinuousSample |
A ConinuousSample is used to describe the interfals in a BoxedPDF.
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| IDiscretePDF |
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| IDiscretePDFFactory |
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| IExponentialDistribution |
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| IGammaDistribution |
Gamma distribution with shape parameter alpha > 0 (also called k in Wikipedia) and scale
parameter theta > 0 (called lambda in umontreal.iro.lecuyer.probdist.GammaDist).
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| ILognormalDistribution |
Lognormal distribution with parameters mu (scale parameter) and sigma (shape parameter) as
defined in umontreal.iro.lecuyer.probdist.LognormalDist.
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| INormalDistribution |
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| IPDFFactory |
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| IPoissonDistribution |
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| IProbabilityDensityFunction |
In mathematics, a probability density function (pdf) serves to represent a probability
distribution in terms of integrals.
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| IProbabilityFunction |
A ProbabilityFunction describes a random variable.
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| IProbabilityFunctionFactory |
Factory.
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| IProbabilityMassFunction |
A probability mass function (abbreviated pmf) gives the probability that a discrete random
variable is exactly equal to some value.
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| IRandomGenerator |
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| ISample |
Describes a sample of a probability mass function.
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| ISamplePDF |
For the implementation of the SamplePDF, we used a simplified version of probability density
functions to ease the following computations and analyses.
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| IStudentTDistribution |
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| IUniformDistribution |
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| IUniformIntDistribution |
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| IUnit |
A unit describes the scale unit of the Y and X axis of a function.
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