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Volumn 75, Issue 1, 2002, Pages 93-102

Quantifying uncertainty under a predictive, epistemic approach to risk analysis

Author keywords

Bayesian paradigm; Expert judgements; Modelling; Predictive approach; Risk analysis; Uncertainty quantification

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; DECISION MAKING; HEURISTIC METHODS; MONTE CARLO METHODS; PROBABILITY; UNCERTAIN SYSTEMS;

EID: 0036132726     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0951-8320(01)00122-3     Document Type: Article
Times cited : (55)

References (34)
  • 3
    • 0002891182 scopus 로고
    • The interpretation of probability, De Finetti's representation theorem, and their implications to the use of expert opinions in safety assessment
    • Barlow R.E., Clarooti C.A., editors, London: Chapman & Hall
    • (1993) Reliability and decision making , pp. 311-322
    • Apostolakis, G.1    Wu, J.S.2
  • 4
    • 0027579153 scopus 로고
    • Formalisms for handling phenomenological uncertainties: The concepts of probability, frequency, variability, and probability of frequency
    • (1992) Nucl Technol , vol.102 , pp. 137-142
    • Kaplan, S.1
  • 19
    • 0022880867 scopus 로고
    • The assessment of probability distributions from expert opinions with an application to seismic fragility curves
    • (1986) Risk anal , vol.6 , pp. 447-461
    • Apostolakis, G.1    Mosleh, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.