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Dakota Reference Manual
Version 6.16
Explore and Predict with Confidence
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Selection of cumulative or complementary cumulative functions
Alias: none
Argument(s): none
Default: cumulative (CDF)
Child Keywords:
| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
|---|---|---|---|---|
| Required (Choose One) | Distribution Type (CDF/CCDF) (Group 1) | cumulative | Computes statistics according to cumulative functions | |
| complementary | Computes statistics according to complementary cumulative functions |
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.
method
sampling
sample_type lhs
samples = 10
distribution cumulative