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) |
Computes statistics according to cumulative functions |
|
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