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

Peltz, James J.

Abstract: 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.


Zugehörige Institution(en) am KIT Institut für Fusionstechnologie und Reaktortechnik (IFRT)
Publikationstyp Hochschulschrift
Jahr 2016
Sprache Englisch
Identifikator DOI(KIT): 10.5445/IR/1000063896
URN: urn:nbn:de:swb:90-638966
KITopen ID: 1000063896
Verlag Karlsruhe
Umfang 242 S.
Abschlussart Dissertation
Fakultät Fakultät für Maschinenbau (MACH)
Institut Institut für Fusionstechnologie und Reaktortechnik (IFRT)
Prüfungsdaten 05.12.2016
Referent/Betreuer Prof. D. G. Cacuci
Lizenz CC BY 3.0 DE: Creative Commons Namensnennung 3.0 Deutschland
Schlagworte verification, validation and uncertainty quantification
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