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ParetoDistribution ​

The Pareto distribution with minimum value kk and shape α\alpha.

ParetoDistribution(k, alpha)an inert distribution object — carries k,αk, \alpha, unevaluated.
Typed signatures
TypePackageApplies
(real<0..>, real<0..>) -> distributionstatisticsalways

Domain: Statistics

Details
  • PDF(x)=αkα/xα+1PDF(x) = \alpha k^\alpha / x^{\alpha+1} for x≥kx \geq k.
  • CDF(x)=1−(k/x)αCDF(x) = 1-(k/x)^\alpha, clamped to 00 below x=kx=k.
  • Mean=αk/(α−1)Mean = \alpha k/(\alpha-1) — exact only for α>1\alpha>1; a documented divergence for α≤1\alpha \leq 1, where the mean is actually infinite.
  • Variance=k2α/((α−1)2(α−2))Variance = k^2\alpha/((\alpha-1)^2(\alpha-2)) — exact only for α>2\alpha>2, same divergence policy.
  • RandomVariate samples via inverse transform: k/U1/αk/U^{1/\alpha}.

Examples

Basic #
live ↗
InPDF⁡(ParetoDistribution(1,3),2)\operatorname{PDF}(\mathrm{ParetoDistribution}(1, 3), 2)Out316\frac{3}{16}
live ↗
InCDF⁡(ParetoDistribution(1,3),2)\operatorname{CDF}(\mathrm{ParetoDistribution}(1, 3), 2)Out78\frac{7}{8}
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Inmean(ParetoDistribution(1,3))\mathrm{mean}(\mathrm{ParetoDistribution}(1, 3))Out32\frac{3}{2}
live ↗
InVariance(ParetoDistribution(1,3))\mathrm{Variance}(\mathrm{ParetoDistribution}(1, 3))Out34\frac{3}{4}
About
Examples4

See also: PDF, CDF