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Are interval probabilities a viable way for quantifying uncertainties?
[chapter]

2013
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Safety, Reliability and Risk Analysis
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In the last decade several authors propagated the use of interval probabilities as alternative to Bayesian models in reliability problems. The basic idea of this approach is to start from some lower and upper bounds for functions of random variables describing the failure probabilities or rates of the components of a system and then to derive from these then bounds for the failure probability of the system. The advantage of such bounds is that there are no classical or Bayesian confidence

doi:10.1201/b15938-475
fatcat:52tlaichpzbl7aeo42lg7ndlia