Author(s): Panagiota Galiatsatou
Linked Author(s):
Keywords: Bivariate observations; Bivariate logistic model; Joint exceedance probabilities; ML; Bayes; L-Moments
Abstract: In the present paper a bivariate process of extreme waves and storm surges at a Dutch station on the North Sea is considered. Different pairs of bivariate observations of waves and surges are tried to find the more realistic one to proceed with the bivariate analysis. A bivariate logistic model and a sequential estimation procedure are used to extract joint exceedance probabilities. The parameters of the margins of the bivariate distribution are defined by Maximum Likelihood (ML), Bayesian with flat prior distributions and L-Moments (LM) estimation procedures. Comparison of results is performed and general conclusions are extracted.
Year: 2007