Weibull Distribution
Notation:
$X \sim Weibull(\lambda, k)$
Probability Density Function:
$f(x)= \frac{k}{\lambda}\left(\frac{x}{\lambda}\right)^{k-1}e^{-(x / \lambda)^k}$
where:
- $\lambda > 0$ is scale
- $k > 0$ is shape
- $x > 0$
Mean:
$\mathrm{E}[X]=\mu=\lambda\Gamma(1+1/k)$
Variance:
$\mathrm{Var}[X]=\sigma^2=\lambda^2\left[ \Gamma \left(1+ \dfrac{2}{k} \right)
- \left(\Gamma \left(1+\dfrac{1}{k} \right) \right)^2\right]$
References:
-
Weibull Distribution - Wikipedia
-
Weibull Distribution - Wolfram MathWorld