An introduction to statistical modeling of extreme values

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.