Dakota Reference Manual: probabilities

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

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probabilities

Computes probabilities associated with response levels

## Specification

Alias: none

Argument(s): none

## Description

The `probabilities` keyword directs Dakota to compute the probability that the model response will be below (cumulative) or above (complementary cumulative) a specified response value. This is done for every response level designated for each response.

Default Behavior

If `response_levels` is specified, the probabilities are computed by default. To explicitly specify it in the Dakota input file, though, the `probabilities` keyword should be specified in conjunction with the `compute` keyword.

Expected Outputs

The Dakota output is a set of response level-probability pairs that give the probability that the model response will be below or above the corresponding response level, depending on the distribution defined.

## Examples

    method
      sampling
        sample_type random
        samples = 100 seed = 1
        complementary distribution
        response_levels = 3.6e+11 4.0e+11 4.4e+11
                          6.0e+04 6.5e+04 7.0e+04
                          3.5e+05 4.0e+05 4.5e+05
        compute probabilities