Multivariate Frequency Analysis of Hydro-Meteorological Variables

Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach provides comprehensive and detailed descriptions of the approaches and techniques used in multivariate frequency analysis (including, but not limited to copula functions), with illustrative examples and real-life case studies provided. The book presents all background material and new developments in one place, presenting the material in a homogeneous and pedagogical way in order to allow students, engineers and researchers to access and efficiently use all information surrounding this topic.

This reference can be used as a guide to apply the available and recent approaches to evaluate hydro-meteorological risks, to design hydraulic structures, in teaching (faculty members), and as a literature review to go to the next steps in research projects (graduate students and postdocs).

Autorentext
Fateh Chebana's background is in statistics and since 2005 his interests have been focused on application, adaptation and development of statistical approaches for hydro-meteorological phenomena. Having experience and background in both areas (hydro-meteorological and statistics) allows Chebana to present solid material well theoretically justified, and with applied orientations in terms of problematic, understanding of data, and interpretation of the results as well as indicating their usefulness. Several of his papers and professional activities are closely connected to the topic of the proposed book, in particular two chapters, as a lead author of a community paper about the Legacy of STAHY (international statistical hydrology commission), organised sessions in international conferences, Chair of the STAHY2016 workshop, co-chair of the international CRMCANSSI 2014 Workshop on New Horizons in Copula Modeling, Invited National Webinar by Canadian Water Resources Association.

Inhalt

1. Introduction
   
   2. Hydro-Meteorological Frequency Analysis (HFA)
   3. Multivariate preliminary analysis
   4. Checking basic assumptions for multivariate HFA
   5. Multivariate modeling
   6. Multivariate return period and quantile
   7. Multivariate regional analysis
   8. Multivariate non-stationary HFA