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