Journal of Verification, Validation and Uncertainty Quantification

Journal of Verification, Validation and Uncertainty Quantification (JVVUQ) disseminates original and applied research, illustrative examples, and high quality validation experimental data applied to: design of experiments; computational models; and analysis of experimental results.

Editor: Ashley F. Emery, University of Washington

The Journal of Verification, Validation and Uncertainty Quantification (JVVUQ) disseminates original and applied research, illustrative examples, and high quality validation experimental data applied to: design of experiments; computational models; and analysis of experimental results. The JVVUQ is cross cutting and serves an audience of engineers and scientists. It provides special issues featuring challenge problems and discipline-specific applications.

Scope: Areas of interest including, but not limited to: code verification; solution verification; validation; uncertainty quantification; model prediction; model adequacy; model accuracy; predictive capacity; model maturity; phenomena identification and ranking table (PIRT); design of experiments; experimental uncertainty; uncertainty in measurement; model uncertainty; model discrepancy; sensitivity analysis; model fidelity; intended use; context of use; regulatory science; aleatoric uncertainty; epistemic uncertainty; comparator; quantification of margins and uncertainties (QMU); fundamentals of probability; applications of probability; Bayesian inference

2018: Volume 3, 4 issues || ISSN: 2377-2158 || eISSN: 2377-2166

http://verification.asmedigitalcollection.asme.org