9783319782409 - causal analytics for applied risk analysis: 270 di cox, louis anthony, jr.; popken, douglas a.; sun, richard x. (14 risultati)
Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
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Lingua: Inglese
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Causal Analytics for Applied Risk Analysis
Cox, Louis Anthony, Jr.; Popken, Douglas A.; Sun, Richard X.
Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
- Rilegato
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Causal Analytics for Applied Risk Analysis
Cox, Louis Anthony, Jr.; Popken, Douglas A.; Sun, Richard X.
Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
- Rilegato
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Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
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Causal Analytics for Applied Risk Analysis
Cox, Louis Anthony, Jr.; Popken, Douglas A.; Sun, Richard X.
Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
- Rilegato
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Causal Analytics for Applied Risk Analysis
Cox, Louis Anthony, Jr.; Popken, Douglas A.; Sun, Richard X.
Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
- Rilegato
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Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
- Rilegato
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Buch. Condizione: 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 derivi…ng 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.
Causal Analytics for Applied Risk Analysis
Cox Jr., Louis Anthony (Author)/ Popken, Douglas A. (Author)/ Sun, Richard X. (Author)
Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
- Rilegato
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Hardcover. Condizione: Brand New. 612 pages. 9.25x6.10x1.57 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: 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 f…rom data in order to optimize decisionsSurv.
Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland Jul 2018, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: 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 sof…tware 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.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Jul 2018, 2018
Serie: Libro 260 di 323 - International Series in Operations Research & Management Science
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 softwar…e 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 612 pp. Englisch.
