Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/2038
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dc.contributor.authorSkahill, Brian E. (Brian Edward)-
dc.date.accessioned2016-03-11T17:57:00Z-
dc.date.available2016-03-11T17:57:00Z-
dc.date.issued2013-09-
dc.identifier.urihttp://hdl.handle.net/11681/2038-
dc.descriptionTechnical Note-
dc.descriptionPurpose: The purpose of this document is to report upon the initial independent implementation and testing of the Bayesian Markov Chain Monte Carlo (MCMC) algorithm Differential Evolution Markov Chain (DE-MC).-
dc.publisherCoastal and Hydraulics Laboratory (U.S.)-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relationhttp://acwc.sdp.sirsi.net/client/en_US/search/asset/1029660-
dc.relation.ispartofseriesTechnical note (Coastal and Hydraulics Engineering (U.S.)) ; VIII-7.-
dc.rightsApproved for public release; distribution is unlimited.-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectMathematical models-
dc.subjectMathematical analysis-
dc.subjectNumerical models-
dc.subjectNumerical analysis-
dc.subjectHydrology-
dc.subjectHydrologic models-
dc.subjectHydrologic model uncertainty-
dc.subjectBayesian Markov Chain Monte Carlo algorithm-
dc.subjectMCMC-
dc.subjectDifferential Evolution Markov Chain-
dc.subjectDE-MC-
dc.subjectAlgorithms-
dc.titleInitial development and testing of a state-of-the-art method to quantify hydrologic model uncertainty-
dc.typeDOCUMENT-
Appears in Collections:CHETN - SECTION 08 - Flood Management

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