Coping with Uncertainty: Robust Solutions (Lecture Notes in Economics and Mathematical Systems, 633)
Language: English
Published by Springer, 2009
- Softcover
- New

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In English.
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- Title
- Coping with Uncertainty: Robust Solutions (Lecture Notes in Economics and Mathematical Systems, 633)
- Publisher
- Springer
- Publication year
- 2009
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3642037348
- ISBN 13
- 9783642037344
- Item weight
- 539 grams
Support for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The dilemma is concerned with enormous costs versus massive uncertainties of extreme impacts. Traditional scientific approaches rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments, and learning by doing may be expensive, dangerous, or impossible. In addition, the available historical observations are often contaminated by past actions, and policies. Thus, tools are presented for the explicit treatment of uncertainties using "synthetic" information composed of available "hard" data from historical observations, the results of possible experiments, and scientific facts, as well as "soft" data from experts' opinions, and scenarios.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Support for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The dilemma is concerned with enormous costs versus massive uncertainties of extreme impacts. Traditional scientific approaches rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments, and learning by doing may be expensive, dangerous, or impossible. In addition, the available historical observations are often contaminated by past actions, and policies. Thus, tools are presented for the explicit treatment of uncertainties using "synthetic" information composed of available "hard" data from historical observations, the results of possible experiments, and scientific facts, as well as "soft" data from experts' opinions, and scenarios.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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