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Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach provides comprehensive and detailed descriptions of the approaches and technique… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
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).
Hydrologists at researcher level and above Meteorologists, Statisticians and Civil-Engineers
1: Introduction
1.1 What is the object of the book?
1.2 Why the multivariate framework in general and in hydro-meteorology?
1.3 Who can benefit from this book?
1.4 What is covered (and not) in this book?
1.5 How to read this book?
References
2: Hydro-Meteorological Frequency Analysis (HFA)
3: Multivariate preliminary analysis
4: Checking basic assumptions for multivariate HFA
4.1 Introduction and general considerations
4.2 Non-stationarity/trend
4.2.1 Definitions
4.2.2 Multivariate trend tests
4.2.3 Performance evaluation
4.2.4 Discussion
4.2.5 Examples
4.3 Heterogeneity/shift
4.3.1 Definitions
4.3.1 Multivariate shift detection tests
4.3.2 Examples
4.4 Serial dependence
4.4.1 Definitions
4.4.2 Serial independence tests
4.4.3 Examples
References
5: Multivariate modeling
6: Multivariate return period and quantile
6.1 Risk assessment in hydro-meteorology
6.2 Multivariate Return Period and multivariate quantile
6.3 Methods to select combinations
6.4 Illustrations
References
7: Multivariate regional analysis
7.1 Aims and general steps of regional frequency analysis
7.2 Region delineation
7.3 Regional estimation
7.4 Index-flood model
7.5 Example
References
8: Multivariate non-stationary HFA
Appendices
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