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    Sensitivity Analysis for Business, Technology, and Policymaking

    Proposal review

    Made Easy with Simulation Decomposition (SimDec)

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    Contributor(s)
    Kozlova, Mariia (editor)
    Yeomans, Julian Scott (editor)
    Language
    English
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    Abstract
    SimDec 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.
    URI
    https://library.oapen.org/handle/20.500.12657/93119
    Keywords
    Engineering; Mathematical modelling; Computer modelling; Simulations; Monte Carlo simulation; Uncertainty; Risk; Decision making; Policymaking; Investment analysis; Sensitivity analysis; Operations research; Environmental issues
    DOI
    10.4324/9781003453789
    ISBN
    9781040121320, 9781003453789, 9781032592466, 9781040121382, 9781040121320
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    Oxford, 2025
    Imprint
    Routledge
    Series
    Routledge Open Business and Economics,
    Classification
    Operational research
    Information technology: general topics
    Mathematical modelling
    Research methods: general
    Computer science
    Production and quality control management
    Pages
    402
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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