Package de.uka.ipd.sdq.probfunction.math
package de.uka.ipd.sdq.probfunction.math
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ClassDescriptionA BoxedPDF is an approximation of an actual probability density function.A ConinuousSample is used to describe the interfals in a BoxedPDF.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).Lognormal distribution with parameters mu (scale parameter) and sigma (shape parameter) as defined in
umontreal.iro.lecuyer.probdist.LognormalDist.In mathematics, a probability density function (pdf) serves to represent a probability distribution in terms of integrals.A ProbabilityFunction describes a random variable.Factory.A probability mass function (abbreviated pmf) gives the probability that a discrete random variable is exactly equal to some value.Describes a sample of a probability mass function.For the implementation of the SamplePDF, we used a simplified version of probability density functions to ease the following computations and analyses.A unit describes the scale unit of the Y and X axis of a function.To be continued...To be continued...