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Boriss Siliverstovs Rainald Ötsch Claudia Kemfert Carlo C. Jaeger Armin Haas Hans Kremers 《Stochastic Environmental Research and Risk Assessment (SERRA)》2010,24(2):311-326
This study models maximum temperatures in Switzerland monitored in twelve locations using the generalised extreme value (GEV)
distribution. The parameters of the GEV distribution are determined within a Bayesian framework. We find that the parameters
of the underlying distribution underwent a substantial change in the beginning of the 1980s. This change is characterised
by an increase both in the level and the variability. We assess the likelihood of the heat wave of the summer 2003 using the
fitted GEV distribution by accounting for the presence of a structural break. The estimation results do suggest that the heat
wave of 2003 is not that statistically improbable if an appropriate methodology is used for dealing with nonstationarity. 相似文献
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