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

model verification and validation, uncertainty quantification, and decision making. We present a framework that extends the … decision makers. This report provides an assessment of our thinking on ASC Verification and Validation, and argues for further …

This procedure provides a framework for implementation of radiochemical data verification and validation for … analytical radiochemistry, radiochemical validation, and validation program development throughout the DOE complex. It should be … regarded as a guidance to use in developing an implementable radiochemical validation strategy. This procedure provides …

extent of over- or underprediction is model validation, a procedure that requires testing over the range of the intended … 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 …

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 …

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