Bayesian treatment of uncertainty in classifying data: Two case studies
Four major sources of uncertainty typically encountered in the analysis of operational data are: randomness of the events; variation between data sources; uncertainty in counting or classifying the events; and uncertainty in modelling the process. This note outlines a Bayesian method for dealing with the third source, and describes two studies in which the approach was used with data from United States nuclear power plants.
Bibliographic Reference: Paper presented: ESREL 96, Creta (US), June 24-28, 1996
Availability: Available from (1) as Paper EN 39964 ORA
Record Number: 199610975 / Last updated on: 1996-09-30
Original language: en
Available languages: en