Copulas and their applications in water resources engineering
By: Zhang, Lan.
Contributor(s): Singh, V. P.
Publisher: New York Cambridge University Press 2019Description: xiii,603p.ISBN: 9781108474252.Subject(s): Copulas (Mathematical statistics) | Hydrology -- MathematicsDDC classification: 519.240155148 | Z61c Summary: Complex environmental and hydrological processes are characterized by more than one correlated random variable. These events are multivariate and their treatment requires multivariate frequency analysis. Traditional analysis methods are, however, too restrictive and do not apply in many cases. Recent years have therefore witnessed numerous applications of copulas to multivariate hydrologic frequency analyses. This book describes the basic concepts of copulas, and outlines current trends and developments in copula methodology and applications. It includes an accessible discussion of the methods alongside simple step-by-step sample calculations. Detailed case studies with real-world data are included, and are organized based on applications, such as flood frequency analysis and water quality analysis. Illustrating how to apply the copula method to multivariate frequency analysis, engineering design, and risk and uncertainty analysis, this book is ideal for researchers, professionals and graduate students in hydrology and water resources engineering.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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PK Kelkar Library, IIT Kanpur | General Stacks | 519.240155148 Z61c (Browse shelf) | Available | A184782 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
519.24 Se71i Inverse Gaussian distribution | 519.24 SI53P PROBABILITY DISTRIBUTIONS INVOLVING GAUSSIAN RANDOM VARIABLES | 519.24 St76 Almost sure convergence | 519.240155148 Z61c Copulas and their applications in water resources engineering | 519.282 Al79s Simulation modeling and analysis with arena | 519.282 F539m Monte Carlo | 519.282 G289r Random number generation and Monte Carlo methods |
Complex environmental and hydrological processes are characterized by more than one correlated random variable. These events are multivariate and their treatment requires multivariate frequency analysis. Traditional analysis methods are, however, too restrictive and do not apply in many cases. Recent years have therefore witnessed numerous applications of copulas to multivariate hydrologic frequency analyses. This book describes the basic concepts of copulas, and outlines current trends and developments in copula methodology and applications. It includes an accessible discussion of the methods alongside simple step-by-step sample calculations. Detailed case studies with real-world data are included, and are organized based on applications, such as flood frequency analysis and water quality analysis. Illustrating how to apply the copula method to multivariate frequency analysis, engineering design, and risk and uncertainty analysis, this book is ideal for researchers, professionals and graduate students in hydrology and water resources engineering.
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