Nonprobabilistic Methods for Dealing with Uncertainties
Dealing with the uncertainties of climate engineering: Warnings from a psychological complex problem solving perspective
... relevant uncertainties together with common areas of fail- ure that arise from the interaction with the characteristics of a CE related political ...in dealing with complex systems should be regarded as one ...
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Dealing with Uncertainties in MCDA
... 235) rejects “traditional rationalistic decision analysis” as an approach which seeks to find a “right answer”. This, however, represents are rather limited and technocratic perception of decision analysis, contrary to ...
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Experiences of dealing with uncertainties in practice
... Preferred measures B, H, S, W Vulnerability (future) Robust measures B, W Adaptation pathways W then B Observed climate variability and change Observed non-climatic pressures Clim[r] ...
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Dealing with Uncertainties in Anglesonly Initial Orbit Determination
... Received: date / Accepted: date Abstract A method to deal with uncertainties in initial orbit determination (IOD) is presented. This is based on the use of Taylor differential algebra (DA) to nonlinearly map the ...
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Dealing with uncertainties in environmental burden of disease assessment
... different methods exist to account for specific susceptible popula- tion sub-groups when no representative exposure- response functions exist (Table 2, section ...
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Electricity Demand Modeling of German Data Centers: Dealing with Uncertainties
... Abstract Data centers, i.e., centralized facilities for processing, management, and dissemination of data and information, have become essential to the functioning of contemporary socio-economic systems. Although ...
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ESA studies on the Don Quijote NEO mission: dealing with impact uncertainties
... 2 The assessment of the scientific payload was carried out by NEOMAP. The ASP would be carried and delivered by Sancho to the target’s surface at the end of the mission, from an orbit about the asteroid. This approach ...
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Dealing with deep uncertainties in landslide modelling for disaster risk reduction under climate change
... usefulness. Uncertainties are associated with the nu- merical model used to assess slope stability and its param- eters, with the data characterizing the geometric, geotech- nic and hydrologic properties of the ...
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On dealing with uncertainties from Kriging models in offline data-driven evolutionary multiobjective optimization
... Adding uncertainties as additional objectives pose a major problem in ex- plaining the effect of optimization as the fitness landscape of the uncertainties is mostly ...
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Statistical Methods for Dealing with Selective Crossover in Randomised Controlled Trials
... Between January 2000 and June 2015, one out of five RCTs assessing efficacy of innovative biological drugs and hormonal therapy for breast cancer permitted patients to cross over at a certain point during the course of ...
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Decision Support Planning Methods: Incorporating Climate Change Uncertainties into Water Planning
... imprecise. These tradeoffs curves can inform the development of hedges in Step 7 or selection of a final strategy in Step 8. Step 7: Develop hedges to key vulnerabilities and iterate with revised strategies. By examining ...
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Sequential Monte Carlo Methods for Crowd and Extended Object Tracking and Dealing with Tall Data
... tracking methods have been utilised in many different applications, including cell tracking in biology [40], pedestrian tracking in surveillance [115], and aircraft tracking with radar in defence ...tracking ...
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Comparison of Methods for Modeling Uncertainties in a 2D Hyperthermia Problem
... convergence is reached with about one hundred nodes. It has been shown that the implementation of the adaptative algorithm leads to an adaptative building of the polynomial chaos. On the contrary, using an adaptive ...
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An accuracy comparison of polynomial chaos type methods for the propagation of uncertainties
... Those methods revealed to be efficient alternatives to Monte-Carlo (MC) ...numerical methods for the propagation of uncertainties through nonlinear differential ...The methods themselves are ...
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Robust Least Squares Methods Under Bounded Data Uncertainties
... estimation methods and the direct LS estimation method tuned to the estimates of the data matrix and output ...estimation methods we propose can be cast as SDP problems, hence our methods can be ...
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Methods to account for uncertainties in exposure assessment in studies of environmental exposures
... shared uncertainties are relatively modest ...full-likelihood methods are expected to work similarly to regression ...BMA methods had roughly similar results of reduced excess odds ratio per Gy ...
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Stochastic simulation methods for structural reliability under mixed uncertainties
... 112 have been developed. There are two mainstreams of these new developments. The first line is focused on developing new learning functions for more effective learning. Some of the most well-known learning functions ...
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Most Effective Methods of Dealing with Cases of Desertion and Non Support
... This Article is brought to you for free and open access by Northwestern University School of Law Scholarly Commons. It has been accepted for inclusion in Journal of Criminal Law and Criminology by an authorized editor of ...
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Methods of Dealing with Values Below the Limit of Detection using SAS
... descriptive statistics depending upon the percentage of values below the LOD. An alternative method uses the characteristics of the distribution of the values above the LOD to estimate the values below the LOD. This can ...
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Dealing with missing data: Key assumptions and methods for applied analysis
... statistical methods presume complete information for all the variables included in the ...Appropriately dealing with missing can be challenging as it requires a careful examination of the data to identify ...
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