Demonstrating Predictive Confidence for a Paradigm Dissolver Model Using Methods for Evaluating Higher Order Moments: A “Case Study” for Nuclear Nonproliferation

This dissertation performs sensitivity analysis, uncertainty quantification up to 3rd-order (including covariance and skewness), and forward and inverse predictive modeling for a dissolver model of interest to nonproliferation. The original results presented in this dissertation highlight the effects of uncertainties which necessarily characterize measurements and computations, and the reduction in the predicted uncertainties by combining optimally the experimental and computational information.