Dakota Reference Manual
Version 6.4
LargeScale Engineering Optimization and Uncertainty Analysis

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 levelprobability 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