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dc.contributor.editorKozlova, Mariia
dc.contributor.editorYeomans, Julian Scott
dc.date.accessioned2024-09-10T04:13:03Z
dc.date.available2024-09-10T04:13:03Z
dc.date.issued2025
dc.date.submitted2024-09-09T15:06:37Z
dc.identifierONIX_20240909_9781040121320_57
dc.identifierhttps://library.oapen.org/handle/20.500.12657/93119
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/143865
dc.description.abstractSimDec is a revolution in decision-making support. SimDec “teases out” inherent cause-and-effect relationships and reveals the intricacy of relationships between sets of input and output variables. At its core, SimDec is an amalgamation of uncertainty and global sensitivity analysis with an innovative visualization technique. While straightforward and elegant, this novel approach significantly enhances the analytical capabilities of users by readily exposing seemingly, a priori, counterintuitive behaviours so that they can be readily understood by both technical specialists and non-technical users alike. This book is the first to articulate the ubiquitous applicability of SimDec and has been written by the leading proponents of the technique. The book provides the necessary background to fully understand the underlying approach and then demonstrates its applicability to a wide spectrum of fields, such as finance, entrepreneurship, energy, 3D manufacturing, geology, the environment, engineering, public policy, and even superconducting magnets. To facilitate as widespread adoption and penetration of SimDec as possible, all supporting computer codes are available, open-source, in Python, Julia, R, and Matlab. The innovative material will be of primary benefit to practitioners and researchers analyzing data from the social sciences, business, science, engineering, mathematics, and computing. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
dc.languageEnglish
dc.relation.ispartofseriesRoutledge Open Business and Economics
dc.rightsopen access
dc.subject.otherEngineering
dc.subject.otherMathematical modelling
dc.subject.otherComputer modelling
dc.subject.otherSimulations
dc.subject.otherMonte Carlo simulation
dc.subject.otherUncertainty
dc.subject.otherRisk
dc.subject.otherDecision making
dc.subject.otherPolicymaking
dc.subject.otherInvestment analysis
dc.subject.otherSensitivity analysis
dc.subject.otherOperations research
dc.subject.otherEnvironmental issues
dc.subject.otherthema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJT Operational research
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
dc.subject.otherthema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
dc.subject.otherthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science
dc.subject.otherthema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniques::KJMV Management of specific areas::KJMV5 Production and quality control management
dc.titleSensitivity Analysis for Business, Technology, and Policymaking
dc.title.alternativeMade Easy with Simulation Decomposition (SimDec)
dc.typebook
oapen.identifier.doi10.4324/9781003453789
oapen.relation.isPublishedByfa69b019-f4ee-4979-8d42-c6b6c476b5f0
oapen.relation.isFundedBy5d04e388-49fd-42e6-afae-432d4d09f435
oapen.relation.isbn9781040121320
oapen.relation.isbn9781003453789
oapen.relation.isbn9781032592466
oapen.relation.isbn9781040121382
oapen.imprintRoutledge
oapen.pages402
oapen.place.publicationOxford
oapen.grant.number[...]
dc.relationisFundedBy5d04e388-49fd-42e6-afae-432d4d09f435


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