Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach Chebana, Fateh (Full Professor, Centre Eau Terre Environnement (ETE), Institut national de la recherche scientifique (INRS), University of Quebec, Canada)

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. The multivariate frequency analysis framework allows for a realistic modeling of hydro-meteorological variables (e.g. floods, droughts, low-flows, rainstorms), and so leads to accurate risk assessment and a flexible framework. This book provides a solid platform for the integration of multivariate frequency analysis tools in hydro-meteorological practice and helps fill the gap between theory and practice and the advancement of the field of statistical hydro-meteorology.

Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach presents all background material and new developments in one place and also to presents this material in a homogeneous and pedagogical way in order to allow students, engineers and researchers to access and use efficiently all the information about 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, teaching (faculty members), as a literature review to go to the next steps in their research projects (graduate students and postdocs).
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