An Introduction to Statistical Modeling of Extreme Values

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Focusing on the practical application of extreme value models, this book provides an accessible theoretical framework and statistical techniques suitable for both statisticians and non-statisticians. It covers historical and contemporary modeling techniques, complemented by real-world examples using genuine datasets. A concluding chapter introduces advanced topics like Bayesian inference and spatial extremes. Computations are performed in S-PLUS, with datasets available online for readers. This resource is ideal for students, researchers, and practitioners in various fields seeking to address real-world problems.