FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1981551484> ?p ?o ?g. }

• W1981551484 endingPage "174" @default.
• W1981551484 startingPage "161" @default.
• W1981551484 abstract "Stochastic Transfer Function (STF) and Generalised Likelihood Uncertainty Estimation (GLUE) techniques are outlined and applied to an environmental problem concerned with marine dose assessment. The goal of both methods in this application is the estimation and prediction of the environmental variables, together with their associated probability distributions. In particular, they are used to estimate the amount of radionuclides transferred to marine biota from a given source: the British Nuclear Fuel Ltd (BNFL) repository plant in Sellafield, UK. The complexity of the processes involved, together with the large dispersion and scarcity of observations regarding radionuclide concentrations in the marine environment, require efficient data assimilation techniques. In this regard, the basic STF methods search for identifiable, linear model structures that capture the maximum amount of information contained in the data with a minimal parameterisation. They can be extended for on-line use, based on recursively updated Bayesian estimation and, although applicable to only constant or time-variable parameter (non-stationary) linear systems in the form used in this paper, they have the potential for application to non-linear systems using recently developed State Dependent Parameter (SDP) non-linear STF models. The GLUE based-methods, on the other hand, formulate the problem of estimation using a more general Bayesian approach, usually without prior statistical identification of the model structure. As a result, they are applicable to almost any linear or non-linear stochastic model, although they are much less efficient both computationally and in their use of the information contained in the observations. As expected in this particular environmental application, it is shown that the STF methods give much narrower confidence limits for the estimates due to their more efficient use of the information contained in the data. Exploiting Monte Carlo Simulation (MCS) analysis, the GLUE technique is used to estimate how the errors involved in the STF model structure and observations influence the model outputs and errors. The discussion on updating information originating from different locations using GLUE procedure is also given. A final aim of the paper is to use the results obtained in this particular example to explore the differences between the GLUE and STF approaches." @default.
• W1981551484 created "2016-06-24" @default.
• W1981551484 creator A5031146693 @default.
• W1981551484 creator A5043229587 @default.
• W1981551484 date "2003-02-01" @default.
• W1981551484 modified "2023-09-23" @default.
• W1981551484 title "Data assimilation and uncertainty analysis of environmental assessment problems—an application of Stochastic Transfer Function and Generalised Likelihood Uncertainty Estimation techniques" @default.
• W1981551484 cites W2023471977 @default.
• W1981551484 cites W2040135243 @default.
• W1981551484 cites W2075235192 @default.
• W1981551484 cites W2086027516 @default.
• W1981551484 cites W2124738823 @default.
• W1981551484 cites W2148615810 @default.
• W1981551484 cites W2168144414 @default.
• W1981551484 cites W2168352079 @default.
• W1981551484 doi "https://doi.org/10.1016/s0951-8320(02)00227-2" @default.
• W1981551484 hasPublicationYear "2003" @default.
• W1981551484 type Work @default.
• W1981551484 sameAs 1981551484 @default.
• W1981551484 citedByCount "11" @default.
• W1981551484 countsByYear W19815514842015 @default.
• W1981551484 countsByYear W19815514842016 @default.
• W1981551484 countsByYear W19815514842017 @default.
• W1981551484 crossrefType "journal-article" @default.
• W1981551484 hasAuthorship W1981551484A5031146693 @default.
• W1981551484 hasAuthorship W1981551484A5043229587 @default.
• W1981551484 hasConcept C105795698 @default.
• W1981551484 hasConcept C107673813 @default.
• W1981551484 hasConcept C121332964 @default.
• W1981551484 hasConcept C122123141 @default.
• W1981551484 hasConcept C126255220 @default.
• W1981551484 hasConcept C14036430 @default.
• W1981551484 hasConcept C153294291 @default.
• W1981551484 hasConcept C163175372 @default.
• W1981551484 hasConcept C177803969 @default.
• W1981551484 hasConcept C24552861 @default.
• W1981551484 hasConcept C33923547 @default.
• W1981551484 hasConcept C41008148 @default.
• W1981551484 hasConcept C78458016 @default.
• W1981551484 hasConcept C86803240 @default.
• W1981551484 hasConceptScore W1981551484C105795698 @default.
• W1981551484 hasConceptScore W1981551484C107673813 @default.
• W1981551484 hasConceptScore W1981551484C121332964 @default.
• W1981551484 hasConceptScore W1981551484C122123141 @default.
• W1981551484 hasConceptScore W1981551484C126255220 @default.
• W1981551484 hasConceptScore W1981551484C14036430 @default.
• W1981551484 hasConceptScore W1981551484C153294291 @default.
• W1981551484 hasConceptScore W1981551484C163175372 @default.
• W1981551484 hasConceptScore W1981551484C177803969 @default.
• W1981551484 hasConceptScore W1981551484C24552861 @default.
• W1981551484 hasConceptScore W1981551484C33923547 @default.
• W1981551484 hasConceptScore W1981551484C41008148 @default.
• W1981551484 hasConceptScore W1981551484C78458016 @default.
• W1981551484 hasConceptScore W1981551484C86803240 @default.
• W1981551484 hasIssue "2" @default.
• W1981551484 hasLocation W19815514841 @default.
• W1981551484 hasOpenAccess W1981551484 @default.
• W1981551484 hasPrimaryLocation W19815514841 @default.
• W1981551484 hasRelatedWork W1991516674 @default.
• W1981551484 hasRelatedWork W2022313577 @default.
• W1981551484 hasRelatedWork W2061197393 @default.
• W1981551484 hasRelatedWork W2162591246 @default.
• W1981551484 hasRelatedWork W2330675171 @default.
• W1981551484 hasRelatedWork W3033715396 @default.
• W1981551484 hasRelatedWork W3098582471 @default.
• W1981551484 hasRelatedWork W4234312687 @default.
• W1981551484 hasRelatedWork W4249977342 @default.
• W1981551484 hasRelatedWork W2783398215 @default.
• W1981551484 hasVolume "79" @default.
• W1981551484 isParatext "false" @default.
• W1981551484 isRetracted "false" @default.
• W1981551484 magId "1981551484" @default.
• W1981551484 workType "article" @default.