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Extreme-Event Analysis

Chapter
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Part of the Modeling and Simulation in Science, Engineering and Technology book series (MSSET)

Abstract

In this chapter we discuss how we selected a model for describing the probability distribution of the extreme events of sea waves and how the model has been made to suit the structure of the data. We also discuss the model’s consequences, such as the evaluation of an m-year return level. Also, we check whether the time series obtained by means of artificial neural network (ANN) reconstruction has the same extreme events probability distribution as the original one. We further discuss the definition of a special ANN method dedicated to the reconstruction of single selected extreme or large events.

Keywords

Extreme Event Wave Direction Return Level Calm Period Asymptotic Normal Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Birkhäuser Boston 2006

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