Statistical Review of Nuclear Power Accidents
ETH Zurich, RiskLab, Department of Mathematics
Mario V. Wuthrich
ETH Zurich, RiskLab, Department of Mathematics; Swiss Finance Institute; Cass Business School; Department of Statistical Science
September 8, 2011
Statistical analysis provides a risk assessment of nuclear safety based on historical data. We use classical probabilistic models from risk theory to analyze data on nuclear power accidents from 1952 to 2011. Findings are that the severities of nuclear power accidents should be modeled with an infinite mean model and, thus, cannot be insured by an unlimited cover.
Number of Pages in PDF File: 13
Keywords: nuclear safety, nuclear power accidents, risk managment, Fukushima, extremes, extreme value theory, Pareto distribution, Hill plot, peaks-over-threshold
JEL Classification: C13, C10, Q40, G22working papers series
Date posted: September 6, 2011 ; Last revised: July 4, 2012
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