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Causal Analytics for Applied Risk Analysis: 270 (International Series in Operations Research & Management Science) - Softcover
- VerlagSpringer
- Erscheinungsdatum2019
- ISBN 10 3030086534
- ISBN 13 9783030086534
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten612
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paperback. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee. Bestandsnummer des Verkäufers 6545-9783030086534
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Causal Analytics for Applied Risk Analysis
Verlag:
Springer International Publishing, 2019
ISBN 10: 3030086534
ISBN 13: 9783030086534
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 612 | Sprache: Englisch | Produktart: Bücher. Bestandsnummer des Verkäufers 34986606/1
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Causal Analytics for Applied Risk Analysis (International Series in Operations Research & Management Science, 270)
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Causal Analytics for Applied Risk Analysis
Verlag:
Springer International Publishing, 2019
ISBN 10: 3030086534
ISBN 13: 9783030086534
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights causal analytics methods that answer how changing decision variables can change probabilities of various outcomesPresents models, algorithms, principles, and software for deriving causal models from data in order to optimize decisionsSurv. Bestandsnummer des Verkäufers 448671645
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Causal Analytics for Applied Risk Analysis
ISBN 10: 3030086534
ISBN 13: 9783030086534
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives.The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks. 612 pp. Englisch. Bestandsnummer des Verkäufers 9783030086534
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Causal Analytics for Applied Risk Analysis
ISBN 10: 3030086534
ISBN 13: 9783030086534
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives.The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks. Bestandsnummer des Verkäufers 9783030086534
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Causal Analytics for Applied Risk Analysis (International Series in Operations Research & Management Science, 270)
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