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Titlebook: Coping with Uncertainty; Modeling and Policy Kurt Marti,Yuri Ermoliev,Georg Pflug Conference proceedings 2006 Springer-Verlag Berlin Heide

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書目名稱Coping with Uncertainty
副標(biāo)題Modeling and Policy
編輯Kurt Marti,Yuri Ermoliev,Georg Pflug
視頻videohttp://file.papertrans.cn/239/238155/238155.mp4
叢書名稱Lecture Notes in Economics and Mathematical Systems
圖書封面Titlebook: Coping with Uncertainty; Modeling and Policy  Kurt Marti,Yuri Ermoliev,Georg Pflug Conference proceedings 2006 Springer-Verlag Berlin Heide
描述.Ongoing global changes bring fundamentally new scientific problems requiring new concepts and tools. A key issue concerns a vast variety of practically irreducible uncertainties, which challenge our traditional models and require new concepts and analytical tools. The uncertainty critically dominantes, e.g., the climate change debates. In short, the dilemma is concerned with enormous costs vs. massive uncertainties of potential extreme impacts. Traditional scientific approaches usually rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments and learning by doing may be very expensive, dangerous, or simply impossible. In addition, available historical observations are contaminated by actions, policies. The complexity of new problems does not allow to achieve enough certainty by increasing the resolution of models or by bringing in more links. Hence, new tools for modeling and management of uncertainty are needed, as given in this book. .
出版日期Conference proceedings 2006
關(guān)鍵詞Analysis; Monte Carlo Simulation; Statistical Analysis; Stochastic Optimization; Stochastic Programming;
版次1
doihttps://doi.org/10.1007/3-540-35262-7
isbn_softcover978-3-540-35258-7
isbn_ebook978-3-540-35262-4Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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Notes from the Trial of the Century,n of spatially distributed crop production, i.e., on a regular grid, consistent with known national-level statistics and in accordance with geographical datasets and agronomic knowledge. We prove convergence of the method to a generalized cross-entropy maximizing solution. We also show that for spec
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Learning Geography in the Absence of Sightberately kept at a level comprehensible to a broad audience through the use of simple examples that can be extended to rather general models. In fact, these examples often illustrate fragments of models that are being developed at IIASA.
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Notes from the Trial of the Century, is discussed..The development of the presented methods has been motivated by actual policymaking issues, and the methods have been applied to complex problems. However, the presentation is deliberately kept at a level comprehensible to a broad audience.
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Notes from the Trial of the Century,so get an estimated project completion time what is attainable with the same prescribed probability. Numerical examples will be given for comparing the traditional and the newly introduced PERT modeling techniques.
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