Uncertainty analysis of Multiple Greek Letter parameters in common cause failure model

As a rule, common cause failures have high influence on the results of Probabilistic Safety Assessments. In the paper, uncertainty analysis for parameters of Multiple-Greek-Letter common-cause-model due to stochastic nature of events is presented. Results of Bayesian analysis and maximum likelihood analysis are compared and interpreted. Special emphasis is given to the assessment of the Bayesian inclusion of generic knowledge, since it may bias the results conservatively. (author)