Dakota Reference Manual: distribution

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

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distribution

Selection of cumulative or complementary cumulative functions

## Specification

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

## 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