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04261nam a22005775i 4500 |
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978-1-4419-1129-2 |
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DE-He213 |
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20151204171151.0 |
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100301s2010 xxu| s |||| 0|eng d |
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|a 9781441911292
|9 978-1-4419-1129-2
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|a 10.1007/978-1-4419-1129-2
|2 doi
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|a GE300-350
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|a TQD
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|a SCI026000
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|a 363.7063
|2 23
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|a Uncertainty and Environmental Decision Making
|h [electronic resource] :
|b A Handbook of Research and Best Practice /
|c edited by Jerzy A. Filar, Alain Haurie.
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264 |
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|a Boston, MA :
|b Springer US,
|c 2010.
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|a XIX, 338 p. 82 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a International Series in Operations Research & Management Science,
|x 0884-8289 ;
|v 138
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|a OR/MS and Environmental Decision Making under Uncertainty -- Modeling Uncertainty in a Large scale integrated Energy-Climate Model -- Robust Optimization for Environmental and Energy Planning -- Coping with Climate Risks in Indonesian Rice Agriculture: A Policy Perspective -- A Primer on Weather Derivatives -- Optimal Control Models and Elicitation of Attitudes towards Climate Damages -- A Stochastic Control/Game Approach to the Optimal Timing of Climate Policies -- Precautionary Effect and Variations of the Value of Information -- Comparative Forecasting and a Test for Persistence in the El Ni#x00F1;o Southern Oscillation -- Generation of Synthetic Sequences of Electricity Demand with Applications -- Models for Improving Management of Biosolids Odors.
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|a Uncertainty and Environmental Decision Making: A Handbook of Research and Best Practice presents the state of the art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. Drawing on leading researchers in the field, it provides a guided tour of selected methods and tools to help deal with issues as climate change, depleting biodiversity and biocapacity, and more general atmospheric, water and soil pollution problems. Individual peer-reviewed chapters look at applying stochastic reasoning on difficult issues arising in EDM under uncertainty; applying stochastic or robust programming methods to techno-economic modeling of energy/environment interactions; important consequences of uncertainty inherent in weather patterns, the El Nino phenomenon and anticipated climate change; exploiting tools of decision analysis, utility theory and optimal control theory to account for differences in time scales between human development processes and the natural processes of the biosphere; and methods that combine statistical and decision analyses that can support a variety of environmental management problems. This important new work will be of special interest to a wide range of researchers, students, and practitioners in environmental economics, OR/MS, environmental and earth sciences, climatologists, and risk assessment.
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650 |
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|a Environment.
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650 |
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|a Operations research.
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650 |
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|a Decision making.
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650 |
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|a Environmental management.
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650 |
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|a Environmental sciences.
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650 |
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|a Environmental economics.
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650 |
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|a Regional economics.
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650 |
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|a Spatial economics.
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650 |
1 |
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|a Environment.
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650 |
2 |
4 |
|a Environmental Monitoring/Analysis.
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650 |
2 |
4 |
|a Environmental Management.
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650 |
2 |
4 |
|a Operation Research/Decision Theory.
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650 |
2 |
4 |
|a Math. Appl. in Environmental Science.
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650 |
2 |
4 |
|a Regional/Spatial Science.
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650 |
2 |
4 |
|a Environmental Economics.
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700 |
1 |
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|a Filar, Jerzy A.
|e editor.
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700 |
1 |
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|a Haurie, Alain.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
0 |
8 |
|i Printed edition:
|z 9781441911285
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830 |
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|a International Series in Operations Research & Management Science,
|x 0884-8289 ;
|v 138
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856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-1-4419-1129-2
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-EES
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950 |
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|a Earth and Environmental Science (Springer-11646)
|