Titlebook: In Extremis; Disruptive Events an Jürgen Kropp,Hans-Joachim Schellnhuber Book 2011 Springer-Verlag Berlin Heidelberg 2011 Bootstrapping.Cor

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Long-Term Structures in Southern German Runoff Data A better understanding of this runoff behaviour on regional scales is crucial for a variety of water management purposes and flood risk assessments. We aimed at extracting long-term components which influence simultaneously a set of southern German runoff records.

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The Statistics of Return Intervals, Maxima, and Centennial Events Under the Influence of Long-Term Cvents we studied how the long-term correlations in data sets with Gaussian and exponential distribution densities affect the extreme value statistics,i.e., the statistics of maxima values within time segments of fixed duration .. We found numerically that (i) the integrated distribution function of

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The Bootstrap in Climate Risk Analysis using reconstructed flood records of the central European rivers Elbe, Oder and Werra over the past five centuries. Trends in flood risk differ among rivers and also between hydrological seasons. The scientific conclusion is that flood risk analysis has to take into account the high spatial variabi

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Confidence Intervals for Flood Return Level Estimates Assuming Long-Range Dependencere reliable confidence intervals, we compare four bootstrap strategies, out of which one yields promising results. The performance of this semi-parametric bootstrap strategy is studied in more detail. We exemplify this approach with a case study: a confidence limit for a 100-year return level estima

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