Towards extreme consequence accidents in energy sector: Are they expected based on historical observations?

Proceedings of the 5th International Disaster and Risk Conference: Integrative Risk Management - The Role of Science, Technology and Practice, IDRC Davos 2014

Volumn , Issue , 2014, Pages 661-664

  Spada, M ^a   Burgherr, P ^a  

^a PAUL SCHERRER INSTITUTE   (Switzerland)

Author keywords

Accident risk; Bayesian analysis; Energy sector; Extreme values

Indexed keywords

ACCIDENTS; ECONOMICS; PROBABILITY; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT; RISK MANAGEMENT; RISK PERCEPTION; RISKS;

ACCIDENT RISKS; BAYESIAN ANALYSIS; ECONOMIC DEVELOPMENT; EMPIRICAL DISTRIBUTIONS; ENERGY SECTOR; EXTREME VALUE; HISTORICAL OBSERVATION; HISTORICAL PROBABILITIES;

ECONOMIC AND SOCIAL EFFECTS;

EID: 84925012910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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4. O'Hagan, A. (2003) 'Bayesian statistics: principles and benefits', in Bayesian Statistics and Quality Modelling in Agro-Food Production Chain. Dordrecht: Kluwer Academic Publishers, pp. 31-45.
5. Schwarz, G. (1978). 'Estimating the dimension of a model', Ann. Statist., 6, pp. 461-464.