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Weibull random variable (Definition)

$ X$ is a Weibull random variable if it has a probability density function, given by

$\displaystyle f_X(x)=\frac{\gamma}{\alpha}(\frac{x-\mu}{\alpha})^{\gamma-1} e^{-(\frac{x-\mu}{\alpha})^\gamma}$
where $ \alpha,\gamma,\mu\in\mathbb{R}$, $ \alpha,\gamma>0$ and $ x\ge\mu$. $ \alpha$ is the scale parameter, $ \gamma$ is the shape parameter, and $ \mu$ is the location parameter.

Notation for $ X$ having a Weibull distribution is $ X\sim$   Wei$ (\alpha,\gamma,\mu)$. Usually, the location and scale parameters are dropped by the transformation

$\displaystyle Y=\frac{X-\mu}{\alpha}$
so that $ Y\sim$   Wei$ (\gamma):=$Wei$ (1,\gamma,0)$. The resulting distribution is called the standard Weibull, or Rayleigh distribution:
$\displaystyle f_X(x)=\gamma x^{\gamma-1}\operatorname{exp}(-x^\gamma)$

Properties: Given a standard Weibull distribution $ X\sim$   Wei$ (\gamma)$:

  1. $ \operatorname{E}[X]=\Gamma(\frac{\gamma+1}{\gamma})$, where $ \Gamma$ is the gamma function
  2. Median = $ (\operatorname{ln}2)^{\frac{1}{\gamma}}$
  3. Mode $ = \begin{cases} (1-\frac{1}{\gamma})^{1/\gamma} & \mbox{if $\gamma>1$}\ 0 & \mbox{otherwise} \end{cases}$
  4. $ \operatorname{Var}[X]=\Gamma(\frac{\gamma+2}{\gamma})-\Gamma(\frac{\gamma+1}{\gamma})^2$
  5. $ X\sim$   Wei$ (\alpha,\gamma,0)$ iff $ X^{\gamma}\sim$   Exp$ (\alpha^\gamma)$, the exponential distribution with parameter $ \alpha^\gamma$

Remark. The Weibull distribution is often used to model reliability or lifetime of products such as light bulbs.



"Weibull random variable" is owned by CWoo.
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Other names:  Weibull distribution, Rayleigh distribution
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Cross-references: exponential distribution, iff, mode, median, gamma function, distribution, transformation, parameter, scale parameter, probability density function
There are 4 references to this entry.

This is version 5 of Weibull random variable, born on 2004-06-24, modified 2007-06-06.
Object id is 5960, canonical name is WeibullRandomVariable.
Accessed 11569 times total.

Classification:
AMS MSC60E05 (Probability theory and stochastic processes :: Distribution theory :: Distributions: general theory)
 62E15 (Statistics :: Distribution theory :: Exact distribution theory)
 62N99 (Statistics :: Survival analysis and censored data :: Miscellaneous)
 62P05 (Statistics :: Applications :: Applications to actuarial sciences and financial mathematics)

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