Gamma Distribution

The gamma distribution is a non-negative continuous probability distribution function.


Description

The distribution is characterized by shape and scale parameters, both of which are strictly positive. A random variable distributed by this function is expressed as X ~ Gamma(α, β).

The distribution is given as:

gamma.svg

for any x ∈ [0,,∞), and where Γ is the gamma function.

In some cases, the distribution is parameterized to a rate (θ) instead of scale (β). Note that rate is the inverse of scale, i.e. θ = 1/β, so the substitution is very simple to apply. The distribution becomes:

gammarate.svg

The exponential distribution is equivalent to a gamma distribution parameterized for rate with shape fixed at 1: Gamma(1, θ) = Exp(θ).


Moments

The expected value is given as E[X] = αβ = α/θ.

Variance is given as Var[X] = αβ2 = α/(θ2).


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Analysis/GammaDistribution (last edited 2026-07-30 22:57:30 by DominicRicottone)