.. _variables-weibull_uncertain: """"""""""""""""" weibull_uncertain """"""""""""""""" Aleatory uncertain variable - Weibull **Topics** continuous_variables, aleatory_uncertain_variables .. toctree:: :hidden: :maxdepth: 1 variables-weibull_uncertain-alphas variables-weibull_uncertain-betas variables-weibull_uncertain-initial_point variables-weibull_uncertain-descriptors **Specification** - *Alias:* None - *Arguments:* INTEGER - *Default:* no weibull uncertain variables **Child Keywords:** +-------------------------+--------------------+--------------------+---------------------------------------------+ | Required/Optional | Description of | Dakota Keyword | Dakota Keyword Description | | | Group | | | +=========================+====================+====================+=============================================+ | Required | `alphas`__ | First parameter of the Weibull distribution | +----------------------------------------------+--------------------+---------------------------------------------+ | Required | `betas`__ | Second parameter of the Weibull | | | | distribution | +----------------------------------------------+--------------------+---------------------------------------------+ | Optional | `initial_point`__ | Initial values for variables | +----------------------------------------------+--------------------+---------------------------------------------+ | Optional | `descriptors`__ | Labels for the variables | +----------------------------------------------+--------------------+---------------------------------------------+ .. __: variables-weibull_uncertain-alphas.html __ variables-weibull_uncertain-betas.html __ variables-weibull_uncertain-initial_point.html __ variables-weibull_uncertain-descriptors.html **Description** The Weibull distribution is also referred to as the Type III Smallest Extreme Value distribution. The Weibull distribution is commonly used in reliability studies to predict the lifetime of a device. It is also used to model capacity variables such as material strength. The density function for the Weibull distribution is given by: .. math:: f(x) = \frac{\alpha}{\beta} \left(\frac{x}{\beta}\right)^{\alpha-1} \exp \left( -\left(\frac{x}{\beta}\right)^{\alpha} \right), where :math:`\mu = \beta \Gamma\left( 1+\frac{1}{\alpha} \right),` and :math:`\sigma = \mu \sqrt{\frac{\Gamma(1+\frac{2}{\alpha})}{\Gamma^2(1+\frac{1}{\alpha})} - 1}`