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doi: 10.1002/asmb.2675
handle: 10115/43177 , 10261/275342
AbstractWe present a general framework for aviation safety occurrence forecasting. This is a major component of a methodology for aviation safety risk management at national level. It covers novel models as well as novel combinations of earlier models. Having good quality occurrence and severity forecasting models is paramount to properly manage risks, maintain the confidence of its users and preserve the status of aviation as a safe transportation mode. The problem is involved due to the presence of complex effects like seasonality, trends, or stress that impact the rates of various occurrences and the uncertainty about future number of operations.
Bayesian forecasting, Statistics, dynamic models, nonhomogeneous Poisson models, aviation safety
Bayesian forecasting, Statistics, dynamic models, nonhomogeneous Poisson models, aviation safety
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