Lessons Learnt from Studies on Sensitivity Analysis Techniques in the EU Project PAMINA: Sensitivity Analysis Applied to Different HLW PA Models

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.

BOLADO LAVIN Ricardo;  COSTESCU BADEA Anca;  BECKER 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 Guillaume;  PLAS Frédéric;  ROEHLIG K.J.;  PLISCHKE E.; 

2009-10-14

Taylor & Francis Group

JRC53264