Robust Simulation for Mega-Risks: The Path from Single-Solution to Competitive, Multi-Solution Methods for Mega-Risk Management - Tapa dura
Sinopsis
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.
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De la contraportada
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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Taylor:Robust Simulation for Mega-Risks (eng)
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Robust Simulation for Mega-Risks (Hardcover)
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Springer International Publishing AG, Cham, 2015
ISBN 10: 3319194127
ISBN 13: 9783319194127
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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Hardcover. Condición: 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. Nº de ref. del artículo: 9783319194127
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Robust Simulation for Mega-Risks
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Springer International Publishing Nov 2015, 2015
ISBN 10: 3319194127
ISBN 13: 9783319194127
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: 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. Nº de ref. del artículo: 9783319194127
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Robust Simulation for Mega-Risks: The Path from Single-Solution to Competitive, Multi-Solution Methods for Mega-Risk Management
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. pp. 160 1st ed. 2015 edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26372488291
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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: The Path from Single-Solution to Competitive, Multi-Solution Methods for Mega-Risk Management
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Robust Simulation for Mega-Risks: The Path from Single-Solution to Competitive, Multi-Solution Methods for Mega-Risk Management
Librería: Revaluation Books, Exeter, Reino Unido
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Hardcover. Condición: Brand New. 164 pages. 9.49x6.26x0.59 inches. In Stock. Nº de ref. del artículo: x-3319194127
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Robust Simulation for Mega-Risks
Publicado por
Springer International Publishing, 2015
ISBN 10: 3319194127
ISBN 13: 9783319194127
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Gebunden. Condición: 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-. Nº de ref. del artículo: 31548611
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Robust Simulation for Mega-Risks
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Springer, Palgrave Macmillan Nov 2015, 2015
ISBN 10: 3319194127
ISBN 13: 9783319194127
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch. Nº de ref. del artículo: 9783319194127
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Robust Simulation for Mega-Risks : The Path from Single-Solution to Competitive, Multi-Solution Methods for Mega-Risk Management
Publicado por
Springer International Publishing, 2015
ISBN 10: 3319194127
ISBN 13: 9783319194127
Nuevo
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: 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. Nº de ref. del artículo: 9783319194127
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