Abstract
One of the major steps of a probabilistic uncertainty and sensitivity analysis of model predictions is the generation of an experimental design, i.e. the selection of a multivariate sample of parameter values suitable to study the influence of parameter uncertainties on model predictions. In order to support the analyst in performing this task a computer program, named MEDUSA, has been written to generate the desired design after having received the necessary input data from the experts who are familiar with the various uncertain parameters. The paper presented describes the main features of this program.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
