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Robust Simulation for Mega-Risks: The Path from Single-Solution to Competitive, Multi-Solution Methods for Mega-Risk Management - Hardcover
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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.
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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.
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Robust Simulation for Mega-Risks : The Path from Single-Solution to Competitive, Multi-Solution Methods for Mega-Risk Management
Verlag:
Springer International Publishing, 2015
ISBN 10: 3319194127
ISBN 13: 9783319194127
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Robust Simulation for Mega-Risks
Verlag:
Springer International Publishing, 2015
ISBN 10: 3319194127
ISBN 13: 9783319194127
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Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sheds light on many innovative ideas and pragmatic approaches for tackling natural and man-made mega-risk issuesLays the framework from both a philosophical and pragmatic perspective as to why divergent answers from competitive approaches to mega-. Bestandsnummer des Verkäufers 31548611
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Robust Simulation for Mega-Risks : The Path from Single-Solution to Competitive, Multi-Solution Methods for Mega-Risk Management
Verlag:
Springer International Publishing, 2015
ISBN 10: 3319194127
ISBN 13: 9783319194127
Neu
Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783319194127
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Robust Simulation for Mega-Risks
ISBN 10: 3319194127
ISBN 13: 9783319194127
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Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch. Bestandsnummer des Verkäufers 9783319194127
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Robust Simulation for Mega-Risks
Verlag:
Springer International Publishing Nov 2015, 2015
ISBN 10: 3319194127
ISBN 13: 9783319194127
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 188 pp. Englisch. Bestandsnummer des Verkäufers 9783319194127
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Robust Simulation for Mega-Risks: The Path from Single-Solution to Competitive, Multi-Solution Methods for Mega-Risk Management
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Hardcover. Zustand: Brand New. 164 pages. 9.49x6.26x0.59 inches. In Stock. Bestandsnummer des Verkäufers x-3319194127
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Robust Simulation for Mega-Risks: The Path from Single-Solution to Competitive, Multi-Solution Methods for Mega-Risk Management
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Robust Simulation for Mega-Risks (Hardcover)
Verlag:
Springer International Publishing AG, Cham, 2015
ISBN 10: 3319194127
ISBN 13: 9783319194127
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Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783319194127
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