Written for those with intermediate and advanced statistical knowledge, this is a guide to extreme value theory in engineering. It covers classical methods with advances in the field. It also contains examples that illustrate the theoretical results, and takes the reader from simple applications through to complex cases of dependence.
Provides readers with the different types of functional equations that they can find in practice, showing how they can be solved. This book also deals with functional networks and their applications, a generalization of neural networks that allows solving many practical problems.
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