Title: Lessons Learnt from Studies on Sensitivity Analysis Techniques in the EU Project PAMINA: Sensitivity Analysis Applied to Different HLW PA Models
Authors: BOLADO LAVIN RicardoCOSTESCU BADEA AncaBECKER D.-A.SPIESSL S.FISCHER-APPELT K.CORMENZANA J.l.CUNADO M.a.SCHROEDER T.j.HART J.GRUPA J.ROSCA-BOCANCEA E.AVILA R.PEPIN GuillaumePLAS FrédéricROEHLIG K.-J.PLISCHKE E.
Citation: Reliability, Risk and Safety: Theory and Applications p. 1777-1784
Publisher: Taylor & Francis Group
Publication Year: 2009
JRC N°: JRC53264
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC53264
Type: Articles in periodicals and books
Abstract: Within the EU project PAMINA different Sensitivity Analysis (SA) techniques have been applied to models that simulate the behaviour of different radioactive waste repositories. This paper summarises the main results and highlights specific aspects of regression/correlation techniques, the use of alternative imputation methods for datasets with missing values, the use of derived input parameters, the use of Monte Carlo filtering techniques in combination with cobweb plots and of variance based techniques.
JRC Directorate:Energy, Transport and Climate

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