Books in the Statistical Modeling and Decision Science series

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.

These edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data.