Matches in SemOpenAlex for { <https://semopenalex.org/work/W3145981844> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W3145981844 abstract "The main quantitative measure of nuclear safeguards effectiveness is nuclear material accounting (NMA), which consists of sequences of measured material balances that should be close to zero if there is no loss of special nuclear material such as Pu. NMA is essentially “accounting with measurement errors,” which arise from good, but imperfect, measurements. The covariance matrix MB of a sequence of material balances is the key quantity that determines the probability to detect loss. There is a recent push to include process monitoring (PM) data along with material balances from NMA in new schemes to monitor for material loss. PM data includes near-real-time measurements by the operator to monitor and control process operations. One concern regarding PM data is the need to estimate normal behavior of PM residuals, which requires a training period prior to ongoing testing for material loss. Assuming that a training period is used for PM data prior to its use in statistical testing for loss, that same training period could also be used for improving the estimate of MB that is used in NMA. We consider updating MB using training data with a Bayesian approach. A simulation study assesses the improvement gained with larger amounts of training data." @default.
- W3145981844 created "2021-04-13" @default.
- W3145981844 creator A5038854150 @default.
- W3145981844 creator A5091511603 @default.
- W3145981844 date "2020-11-01" @default.
- W3145981844 modified "2023-09-24" @default.
- W3145981844 title "Bayesian Updating of Material Balances Covariance Matrices Using Training Data" @default.
- W3145981844 cites W1519775856 @default.
- W3145981844 cites W1965399370 @default.
- W3145981844 cites W1998491803 @default.
- W3145981844 cites W2019733397 @default.
- W3145981844 cites W2092224475 @default.
- W3145981844 cites W2094294029 @default.
- W3145981844 cites W2108207895 @default.
- W3145981844 cites W2124163992 @default.
- W3145981844 cites W2163738067 @default.
- W3145981844 cites W2510605960 @default.
- W3145981844 doi "https://doi.org/10.36001/ijphm.2014.v5i1.2206" @default.
- W3145981844 hasPublicationYear "2020" @default.
- W3145981844 type Work @default.
- W3145981844 sameAs 3145981844 @default.
- W3145981844 citedByCount "1" @default.
- W3145981844 countsByYear W31459818442023 @default.
- W3145981844 crossrefType "journal-article" @default.
- W3145981844 hasAuthorship W3145981844A5038854150 @default.
- W3145981844 hasAuthorship W3145981844A5091511603 @default.
- W3145981844 hasBestOaLocation W31459818441 @default.
- W3145981844 hasConcept C105795698 @default.
- W3145981844 hasConcept C106487976 @default.
- W3145981844 hasConcept C107673813 @default.
- W3145981844 hasConcept C111919701 @default.
- W3145981844 hasConcept C11413529 @default.
- W3145981844 hasConcept C121332964 @default.
- W3145981844 hasConcept C121955636 @default.
- W3145981844 hasConcept C124101348 @default.
- W3145981844 hasConcept C144133560 @default.
- W3145981844 hasConcept C154945302 @default.
- W3145981844 hasConcept C159985019 @default.
- W3145981844 hasConcept C178650346 @default.
- W3145981844 hasConcept C185142706 @default.
- W3145981844 hasConcept C185544564 @default.
- W3145981844 hasConcept C192562407 @default.
- W3145981844 hasConcept C196083921 @default.
- W3145981844 hasConcept C2776893251 @default.
- W3145981844 hasConcept C33923547 @default.
- W3145981844 hasConcept C41008148 @default.
- W3145981844 hasConcept C98045186 @default.
- W3145981844 hasConceptScore W3145981844C105795698 @default.
- W3145981844 hasConceptScore W3145981844C106487976 @default.
- W3145981844 hasConceptScore W3145981844C107673813 @default.
- W3145981844 hasConceptScore W3145981844C111919701 @default.
- W3145981844 hasConceptScore W3145981844C11413529 @default.
- W3145981844 hasConceptScore W3145981844C121332964 @default.
- W3145981844 hasConceptScore W3145981844C121955636 @default.
- W3145981844 hasConceptScore W3145981844C124101348 @default.
- W3145981844 hasConceptScore W3145981844C144133560 @default.
- W3145981844 hasConceptScore W3145981844C154945302 @default.
- W3145981844 hasConceptScore W3145981844C159985019 @default.
- W3145981844 hasConceptScore W3145981844C178650346 @default.
- W3145981844 hasConceptScore W3145981844C185142706 @default.
- W3145981844 hasConceptScore W3145981844C185544564 @default.
- W3145981844 hasConceptScore W3145981844C192562407 @default.
- W3145981844 hasConceptScore W3145981844C196083921 @default.
- W3145981844 hasConceptScore W3145981844C2776893251 @default.
- W3145981844 hasConceptScore W3145981844C33923547 @default.
- W3145981844 hasConceptScore W3145981844C41008148 @default.
- W3145981844 hasConceptScore W3145981844C98045186 @default.
- W3145981844 hasIssue "1" @default.
- W3145981844 hasLocation W31459818441 @default.
- W3145981844 hasOpenAccess W3145981844 @default.
- W3145981844 hasPrimaryLocation W31459818441 @default.
- W3145981844 hasRelatedWork W1987651606 @default.
- W3145981844 hasRelatedWork W2006567123 @default.
- W3145981844 hasRelatedWork W2070089358 @default.
- W3145981844 hasRelatedWork W2102383732 @default.
- W3145981844 hasRelatedWork W2103417018 @default.
- W3145981844 hasRelatedWork W2155376679 @default.
- W3145981844 hasRelatedWork W2319701991 @default.
- W3145981844 hasRelatedWork W3039555241 @default.
- W3145981844 hasRelatedWork W345348177 @default.
- W3145981844 hasRelatedWork W305980334 @default.
- W3145981844 hasVolume "5" @default.
- W3145981844 isParatext "false" @default.
- W3145981844 isRetracted "false" @default.
- W3145981844 magId "3145981844" @default.
- W3145981844 workType "article" @default.