Modeling and Data Analysis.- Parametric Modeling.- Diagnostic Tools.- Statistical Inference in Parametric Models.- An Introduction to Parametric Inference.- Extreme Value Models.- Generalized Pareto Models.- Advanced Statistical Analysis.- Statistics of Dependent Variables.- Conditional Extremal Analysis.- Statistical Models for Exceedance Processes.- Elements of Multivariate Statistical Analysis.- Basic Multivariate Concepts and Visualization.- Elliptical and Related Distributions.- Multivariate Maxima.- Multivariate Peaks Over Threshold.- Topics in Hydrology and Environmental Sciences.- Flood Frequency Analysis.- Environmental Sciences.- Topics in Finance and Insurance.- Extreme Returns in Asset Prices.- The Impact of Large Claims on Actuarial Decisions.- Topics in Material and Life Sciences.- Material Sciences.- Life Science.
"The book is well written. It assumes a knowledge of statistics, but many of the ideas and techniques can be used by a nonstatistician. As a handbook for XTREMES, it is excellent, and I recommend it highly."-Computing Reviews"The present book is a valuable contribution to the various theoretical and applied problems in the area of extreme value theory...a pleasure to read."-Statistics & Decisions"The book is however much more than a manual for the program and it would provide an excellent introduction to the subject for any statistician looking for a practical introduction to the subject of extreme values."- J. Time Series Analysis"With general statistics software, appropriate tools for the analysis of real extreme value problems are rarely provided. XTREMES excellently fills this gap in the statistics software market."-Computational Statistics"For a practitioner from industry, insurance, or finance who is less concerned with understanding the underlying probability and more interested in applications, this new book will be a good buy."-JASA"The book can be highly recommended to all who deal with statistics of extremes." - Zeitschrift fur Mathematik
![]() |
Ask a Question About this Product More... |
![]() |