Article,

Comparing generalized Pareto models fitted to extreme observations: an application to the largest temperatures in Spain

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Stochastic Environmental Research and Risk Assessment, 28 (5): 1221-1233 (2014)
DOI: 10.1007/s00477-013-0809-8

Abstract

In this paper, a subsampling-based testing procedure for the comparison of the exceedance distributions of stationary time series is introduced. The proposed testing procedure has a number of advantages including the fact that the assumption of stationary can be relaxed for some specific forms of non-stationary and also that the two time series are not required to be independently-generated. For this purpose, a test based on the Kolmogorov–Smirnov and the

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