extent of over- or underprediction is model validation, a procedure that requires testing over the range of the intended …. To improve the realism of assessment modeling, stochastic procedures are recommended that translate uncertain parameter … improved through site-specific parameter estimation and increased model validation, risk factors and internal dosimetry models …

incubation, technology demonstration and validation, and workforce development. The NSTI will focus on serving businesses with …

schemes. Experimental validation of modeling approaches and methodologies builds confidence in the prediction, while advanced …

of defeating an adversary attempting a malevolent act. Effectiveness validation means a testing program that provides … inferences about system performance; and (3) using reliability growth and scenario modeling to help specify which safeguards …

Two major issues associated with model validation are addressed here. First, we present a maximum likelihood approach … to define and evaluate a model validation metric. The advantage of this approach is it is more easily applied to … effect of this on model validation metrics. We show that ignoring correlation in multivariate data can lead to misleading …

stakeholder, by specification components, and by verification and validation impact. …

/fragmentation behavior, deflagration rates, and the effect of material damage. We also describe our validation test, the Scaled Thermal …

quality of a model. This paper suggests a formal statistical procedure for the validation of mathematical models of systems … when data taken during operation of the system are available. The statistical validation procedure is based on the … model validation developed in this study uses experimental data to estimate the marginal and joint confidence intervals of …