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LaplaceDistribution ​

The Laplace (double-exponential) distribution with location μ\mu and scale bb.

LaplaceDistribution(mu, b)an inert distribution object — carries μ,b\mu, b, unevaluated.
Typed signatures
TypePackageApplies
(real, real<0..>) -> distributionstatisticsalways

Domain: Statistics

Details
  • PDF(x)=e−∣x−μ∣/b/(2b)PDF(x) = e^{-|x-\mu|/b}/(2b), exact.
  • CDF(x)=e(x−μ)/b/2CDF(x) = e^{(x-\mu)/b}/2 for x<μx < \mu, 1−e−(x−μ)/b/21-e^{-(x-\mu)/b}/2 otherwise.
  • Mean=μMean = \mu, Variance=2b2Variance = 2b^2, both exact.
  • RandomVariate samples via inverse transform.

Examples

Basic #
live ↗
InPDF⁡(LaplaceDistribution(0,12),0)\operatorname{PDF}(\mathrm{LaplaceDistribution}(0, \frac{1}{2}), 0)Out11
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InCDF⁡(LaplaceDistribution(0,12),0)\operatorname{CDF}(\mathrm{LaplaceDistribution}(0, \frac{1}{2}), 0)Out12\frac{1}{2}
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Inmean(LaplaceDistribution(0,12))\mathrm{mean}(\mathrm{LaplaceDistribution}(0, \frac{1}{2}))Out00
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InVariance(LaplaceDistribution(0,12))\mathrm{Variance}(\mathrm{LaplaceDistribution}(0, \frac{1}{2}))Out12\frac{1}{2}
About
Examples4

See also: CauchyDistribution, LogisticDistribution, PDF, CDF