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Updated Supported CDF functions (markdown)
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Jan 16, 2017
by
Dr. Carina da Silva
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The following table gives an overview about the distributions which can be used within the tool for the firing behaviour of general transitions.
The documentation of the used library classes can be found at:
[
http://www.iro.umontreal.ca/~simardr/ssj/doc/html/umontreal/iro/lecuyer/randvar/RandomVariateGen.html
](
http://www.iro.umontreal.ca/~simardr/ssj/doc/html/umontreal/iro/lecuyer/randvar/RandomVariateGen.html
)
|CDF function|Required value in XML|Required parameters|Used class name|
| ---------- |:-------------------:|:-----------------:|:--------:|
| Uniform | _uniform_ | _a_, _b_ ∈ ℝ with _a_ < _b_ | UniformGen |
| Normal | _normal_ | _mu_ ∈ ℝ, _sigma_ ∈ ℝ⁺ | NormalGen |
| Folded normal | _foldednormal_ | _mu_ ∈ ℝ≥0, _sigma_ ∈ ℝ⁺ | FoldedNormalGen |
| Half normal | _halfnormal_ | _mu_ ∈ ℝ, _sigma_ ∈ ℝ⁺ | HalfNormalGen |
| Log normal | _lognormal_ | _mu_ ∈ ℝ, _sigma_ ∈ ℝ⁺ | LognormalGen |
| Inverse normal | _inversenormal_ | _mu_, _lambda_ ∈ ℝ⁺ | InverseGaussianGen |
| Beta | _beta_ | _a_, _b_ ∈ ℝ with _a_ < _b_, _alpha_, _beta_ ∈ ℝ⁺ | BetaGen |
| Cauchy | _cauchy_ | _alpha_ ∈ ℝ, _beta_ ∈ ℝ⁺| CauchyGen |
| Chi | _chi_ | _nu_ ∈ ℕ⁺ | ChiGen |
| Chi square | _chisquare_ | _n_ ∈ ℕ⁺ | ChiSquareGen |
| Exponential | _exp_ | _lambda_ ∈ ℝ⁺ | ExponentialGen |
| Fisher's F | _fisherf_ | _n_, _m_ ∈ ℕ⁺ | FisherFGen |
| Frechet | _frechet_ | _alpha_, _beta_ ∈ ℝ⁺, delta ∈ ℝ | FrechetGen |
| Gamma | _gamma_ | _alpha_, _lambda_ ∈ ℝ⁺ | GammaGen |
| Inverse gamma | _inversegamma_ | _alpha_, _beta_ ∈ ℝ⁺ | InverseGammaGen |
| Gumbel | _gumbel_ | _beta_ ∈ ℝ
\\
{0}, delta ∈ ℝ | GumbelGen |
| Laplace | _laplace_ | _beta_ ∈ ℝ⁺, mu ∈ ℝ | LaplaceGen |
| Logistic | _logistic_ | _alpha_ ∈ ℝ, _lambda_ ∈ ℝ⁺ | LogisticGen |
| Log logistic | _loglogistic_ | _alpha_, _beta_ ∈ ℝ⁺ | LoglogisticGen |
| Pareto | _pareto_ | _alpha_, _beta_ ∈ ℝ⁺ | ParetoGen |
| Rayleigh | _rayleigh_ | _a_ ∈ ℝ, _beta_ ∈ ℝ⁺ |RayleighGen |
| Student | _student_ | _n_ ∈ ℕ⁺ | StudentGen |
| Weibull | _weibull_ | _alpha_, _lambda_ ∈ ℝ⁺, delta ∈ ℝ | WeibullGen |
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