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Titlebook: Robust Simulation for Mega-Risks; The Path from Single Craig E. Taylor Book 2015 Springer International Publishing Switzerland 2015 Decisio

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書目名稱Robust Simulation for Mega-Risks
副標(biāo)題The Path from Single
編輯Craig E. Taylor
視頻videohttp://file.papertrans.cn/832/831360/831360.mp4
概述Sheds light on many innovative ideas and pragmatic approaches for tackling natural and man-made mega-risk issues.Lays the framework from both a philosophical and pragmatic perspective as to why diverg
圖書封面Titlebook: Robust Simulation for Mega-Risks; The Path from Single Craig E. Taylor Book 2015 Springer International Publishing Switzerland 2015 Decisio
描述.This book introduces a new way of analyzing, measuring and thinking about mega-risks, a “paradigm shift” that moves from single-solutions to multiple competitive solutions and strategies. “Robust simulation” is a statistical approach that demonstrates future risk through simulation of a suite of possible answers.?To arrive at this point, the book systematically walks through the historical statistical methods for evaluating risks. The first chapters deal with three theories of probability and statistics that have been dominant in the 20th century, along with key mathematical issues and dilemmas.?The book then introduces “robust simulation” which solves the problem of measuring the stability of simulated losses, incorporates outliers, and simulates future risk through a suite of possible answers and stochastic modeling of unknown variables.?This book discusses various analytical methods for utilizing divergent solutions in making pragmatic financial and risk-mitigation decisions.?The book emphasizes the importance of flexibility and attempts to demonstrate that alternative credible approaches are helpful and required in understanding a great many phenomena..
出版日期Book 2015
關(guān)鍵詞Decision analysis; Hazard modeling; Natural disasters; Risk assessment; Risk strategies
版次1
doihttps://doi.org/10.1007/978-3-319-19413-4
isbn_softcover978-3-319-36907-5
isbn_ebook978-3-319-19413-4
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Robust Simulation and Nonlinear Reasoningation of future risk through simulation of an ensemble of credible views that integrates valid scientific disagreement. From the standpoint of calculation, robust simulation supersedes the use of variance, confidence intervals, and other methods that have been used to develop uncertainty estimates.
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