distribution

Selection of cumulative or complementary cumulative functions

Specification

  • Alias: None

  • Arguments: None

  • Default: cumulative (CDF)

Child Keywords:

Required/Optional

Description of Group

Dakota Keyword

Dakota Keyword Description

Required (Choose One)

Distribution Type (CDF/CCDF)

cumulative

Computes statistics according to cumulative functions

complementary

Computes statistics according to complementary cumulative functions

Description

The distribution keyword allows the user to select between a cumulative distribution/belief/plausibility function and a complementary cumulative distribution/belief/plausibility function. This choice affects how probabilities and reliability indices are reported.

Default Behavior

If the distribution keyword is present, it must be accompanied by either cumulative or complementary. Otherwise, a cumulative distribution will be used by default.

Expected Outputs

Output will be a set of model response-probability pairs determined according to the choice of distribution. The choice of distribution also defines the sign of the reliability or generalized reliability indices.

Examples

method
  sampling
    sample_type lhs
    samples = 10
    distribution cumulative