search query: @indexterm Bayesian statistics / total: 167
reference: 15 / 167
Author: | Apeland, S. Scarf, P. A. |
Title: | A fully subjective approach to modelling inspection maintenance |
Journal: | European Journal of Operational Research
2003 : JUL, VOL. 148:2, p. 410-425 |
Index terms: | Risk analysis Maintenance Bayesian statistics Probability |
Language: | eng |
Abstract: | The fully subjective, or fully Bayesian approach discussed in this paper provides straight forward means of presenting uncertainty related to future events to decision makers. This approach is described in the context of an inspection maintenance decision problem, and is contrasted with the classical probabilistic approach that assumes the existence of true probabilities and probability distributions which have to be estimated. Key features of the fully subjective approach are discussed, including integration of engineering judgements, uncertainty treatment and type of performance measures to be used. |
SCIMA