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Sensitivity Analysis for Business, Technology, and Policymaking : Made Easy with Simulation Decomposition (SimDec) (Routledge Open Business and Economics)

By: Julian Scott Yeomans (Edited by) , Mariia Kozlova (Edited by)

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Ksh 38,000.00

Format: Hardback or Cased Book

ISBN-10: 103259246X

ISBN-13: 9781032592466

Collection / Series: Routledge Open Business and Economics

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: Routledge

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 12th, 2024

Publication Status: Active

Product extent: 368 Pages

Weight: 453.00 grams

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  • Description

  • Reviews

This book, the first to articulate the ubiquitous applicability of Simulation Decomposition (SimDec) and written by the leading proponents of the technique, provides the necessary background to fully understand the underlying approach and then demonstrates its applicability to a wide spectrum of fields.

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.


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