Copulas and Its Application in Hydrology and Water Resources

Nonfiction, Science & Nature, Science, Other Sciences, Meteorology, Earth Sciences
Cover of the book Copulas and Its Application in Hydrology and Water Resources by Lu Chen, Shenglian Guo, Springer Singapore
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Author: Lu Chen, Shenglian Guo ISBN: 9789811305740
Publisher: Springer Singapore Publication: June 28, 2018
Imprint: Springer Language: English
Author: Lu Chen, Shenglian Guo
ISBN: 9789811305740
Publisher: Springer Singapore
Publication: June 28, 2018
Imprint: Springer
Language: English
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas. In addition, it extends the traditional bivariate model to trivariate or multivariate models. The specific applications covered include the study of flood frequency analysis, drought frequency analysis, dependence analysis, flood coincidence risk analysis and statistical simulation using copulas. The book offers a valuable guide for researchers, scientists and engineers working in hydrology and water resources, and will also benefit graduate or doctoral students with a basic grasp of copula functions who want to learn about the latest research developments in the field.

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This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas. In addition, it extends the traditional bivariate model to trivariate or multivariate models. The specific applications covered include the study of flood frequency analysis, drought frequency analysis, dependence analysis, flood coincidence risk analysis and statistical simulation using copulas. The book offers a valuable guide for researchers, scientists and engineers working in hydrology and water resources, and will also benefit graduate or doctoral students with a basic grasp of copula functions who want to learn about the latest research developments in the field.

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