| 书目名称 | Copulas and Its Application in Hydrology and Water Resources | | 编辑 | Lu Chen,Shenglian Guo | | 视频video | | | 概述 | Shares the latest studies on the concept and methods of copulas for multivariate hydrological analysis.Enriches readers’ understanding of determining the input for artificial neural networks for flood | | 丛书名称 | Springer Water | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2019 | | 关键词 | Copula theory; Application in hydrology and water resources; Hydrological frequency analysis; Risk anal | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-13-0574-0 | | isbn_softcover | 978-981-13-4454-1 | | isbn_ebook | 978-981-13-0574-0Series ISSN 2364-6934 Series E-ISSN 2364-8198 | | issn_series | 2364-6934 | | copyright | Springer Nature Singapore Pte Ltd. 2019 |
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发表于 2025-3-21 16:03:41
