Dakota Reference Manual: aleatory_uncertain_variables

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aleatory_uncertain_variables

## Description

Aleatory uncertainty is also known as inherent variability, irreducible uncertainty, or randomness.

Aleatory uncertainty is typically represented by probability distributions and is specified to Dakota using the following parametric and histogram uncertain variable keywords.

## Related Topics

## Related Keywords

- beta_uncertain : Aleatory uncertain variable - beta
- binomial_uncertain : Aleatory uncertain discrete variable - binomial
- exponential_uncertain : Aleatory uncertain variable - exponential
- frechet_uncertain : Aleatory uncertain variable - Frechet
- gamma_uncertain : Aleatory uncertain variable - gamma
- geometric_uncertain : Aleatory uncertain discrete variable - geometric
- gumbel_uncertain : Aleatory uncertain variable - gumbel
- histogram_bin_uncertain : Aleatory uncertain variable - continuous histogram
- histogram_point_uncertain : Aleatory uncertain variable - discrete histogram
- hypergeometric_uncertain : Aleatory uncertain discrete variable - hypergeometric
- lognormal_uncertain : Aleatory uncertain variable - lognormal
- loguniform_uncertain : Aleatory uncertain variable - loguniform
- negative_binomial_uncertain : Aleatory uncertain discrete variable - negative binomial
- normal_uncertain : Aleatory uncertain variable - normal (Gaussian)
- poisson_uncertain : Aleatory uncertain discrete variable - Poisson
- triangular_uncertain : Aleatory uncertain variable - triangular
- uniform_uncertain : Aleatory uncertain variable - uniform
- weibull_uncertain : Aleatory uncertain variable - Weibull