Presents a method of analysis to obtain risk profiles for major adverse events. The method is based on a previously published method for probabilistically modelling historical data of past major accidents and disasters. Shows that insurable costs arising from such major events can be modelled using the two‐parameter Weibull distribution. Values of parameters obtained using different data sets are seen to be comparable in value. Discusses the relevance of this work to risk analysis and identifies areas of research requiring future development.
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