L-moments and Bayesian inference for probabilistic risk assessment with scarce samples that include extremes
In structural applications, uncertainties are unavoidable and play a significant role in risk
assessment. Probabilistic risk assessment (PRA) is used to determine the level of risk …
assessment. Probabilistic risk assessment (PRA) is used to determine the level of risk …
L-moments-based uncertainty quantification for scarce samples including extremes
Sampling-based uncertainty quantification demands large data. Hence, when the available
sample is scarce, it is customary to assume a distribution and estimate its moments from …
sample is scarce, it is customary to assume a distribution and estimate its moments from …
A dual surrogate driven L-moments based robust design with scarce samples in the presence of extremes
Robust Design architectures permit identifying designs in the input space that minimize the
mean as well as the spread of the response in the performance space, when the input …
mean as well as the spread of the response in the performance space, when the input …