Uncertainty Analysis Within the EU HEIMTSA (Health and Environment Integrated Methodology and Toolbox for Scenario Assessment) Project

Epidemiology ◽  
2011 ◽  
Vol 22 ◽  
pp. S176-S177 ◽  
Author(s):  
Clive Sabel ◽  
Gavin Shaddick ◽  
Marta Blangiardo ◽  
Ruth Salway ◽  
Alex Zenie ◽  
...  
2009 ◽  
Vol 165 (3) ◽  
pp. 333-359 ◽  
Author(s):  
Mohammad Pourgol-Mohamad ◽  
Mohammad Modarres ◽  
Ali Mosleh

Author(s):  
Mohammad Pourgol-Mohamad ◽  
Ali Mosleh ◽  
Mohammad Modarres

Uncertainty analysis methodology in complex system models requires a comprehensive treatment of many different types and sources of uncertainty sources. Proposed methodology as part of a broader research by the authors for an integrated methodology for uncertainty analysis of TH computational codes, allows updating of uncertainties upon availability of new information about inputs, models or output. This methodology is a statistical approach for output-based updating, with non-paired data. The proposed method employs a Gibbs MCMC sampler to estimate output distribution. Winbugs code was developed to implement the Bayesian solution proposed in this paper. The methodology is applied to the data from 200% cold leg LBLOCA test of LOFT facility [4].


2011 ◽  
Vol 86 (9-11) ◽  
pp. 2156-2159 ◽  
Author(s):  
Dieter Leichtle ◽  
Ulrich Fischer ◽  
Reuven L. Perel ◽  
Arkady Serikov

2013 ◽  
Author(s):  
Rinus van Schendelen
Keyword(s):  

2002 ◽  
Vol 7 (3) ◽  
pp. 221-224 ◽  
Author(s):  
Bernhard Wilpert

The paper presents an inside evaluation of the EuroPsyT project, funded by the EU Leonardo Program in 1999-2001. While standard research usually neglects to reflect on the internal and external constraints and opportunities under which research results are achieved, the paper stresses exactly those aspects: starting from a brief description of the overall objectives of the 11 countries project, the paper proceeds to describe the macro-context and the internal strengths and weaknesses of the project team, the internal procedures of cooperation,. and obstacles encountered during the research process. It winds up in noting some of the project's achievements and with a look towards future research.


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