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Dakota Reference Manual
Version 6.16
Explore and Predict with Confidence
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Computes probabilities associated with response levels
Alias: none
Argument(s): none
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.
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