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Copulas and its application in hydrology and water resources
正題名/作者 ： Copulas and its application in hydrology and water resources/ by Lu Chen, Shenglian Guo.
作者 ： Chen, Lu.
其他作者 ： Guo, Shenglian.
出版者 ： Singapore :Springer Nature Singapore,2019.
面頁冊數 ： x, 290 p. :ill. (some col.), digital ;24 cm.
Contained By ： Springer eBooks
標題 ： Copulas (Mathematical statistics) -
電子資源 ： 線上閱讀(Springer)
ISBN ： 9789811305740$q(electronic bk.)
ISBN ： 9789811305733$q(paper)
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100 1 $aChen, Lu.$3532779
245 10$aCopulas and its application in hydrology and water resources$h[electronic resource] /$cby Lu Chen, Shenglian Guo.
260 $aSingapore :$bSpringer Nature Singapore,$c2019.
300 $ax, 290 p. :$bill. (some col.), digital ;$c24 cm.
490 1 $aSpringer water,$x2364-6934
505 0 $aIntroduction -- Copula function -- Copula-based seasonal design flood calculation -- Drought analysis using copulas -- Copula-based flood coincidence risk analysis -- Copula-based multi-site streamflow simulation -- Copula-based forecast uncertainty evolution model for flood risk analysis -- Copula entropy -- Determination of input for Artificial Neural Networks for flood forecasting using the copula entropy method -- Measures of correlations among rivers using copula entropy.
520 $aThis book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas. In addition, it extends the traditional bivariate model to trivariate or multivariate models. The specific applications covered include the study of flood frequency analysis, drought frequency analysis, dependence analysis, flood coincidence risk analysis and statistical simulation using copulas. The book offers a valuable guide for researchers, scientists and engineers working in hydrology and water resources, and will also benefit graduate or doctoral students with a basic grasp of copula functions who want to learn about the latest research developments in the field.
650 0$aCopulas (Mathematical statistics)$3327526
650 0$aHydrology$xStatistical methods.$3170904
650 14$aEngineering.$3312165
650 24$aGeoengineering, Foundations, Hydraulics.$3401786
650 24$aHydrology/Water Resources.$3401951
650 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.$3401980
700 1 $aGuo, Shenglian.$3532780
710 2 $aSpringerLink (Online service)$3374217
773 0 $tSpringer eBooks
830 0$aSpringer water.$3402516
856 40$uhttps://erm.library.ntpu.edu.tw/login?url=http://dx.doi.org/10.1007/978-981-13-0574-0$z線上閱讀(Springer)
950 $aEarth and Environmental Science (Springer-11646)
Chen, Lu.
Copulas and its application in hydrology and water resources[electronic resource] /by Lu Chen, Shenglian Guo. - Singapore :Springer Nature Singapore,2019. - x, 290 p. :ill. (some col.), digital ;24 cm. - Springer water,2364-6934. - Springer water..
Introduction -- Copula function -- Copula-based seasonal design flood calculation -- Drought analysis using copulas -- Copula-based flood coincidence risk analysis -- Copula-based multi-site streamflow simulation -- Copula-based forecast uncertainty evolution model for flood risk analysis -- Copula entropy -- Determination of input for Artificial Neural Networks for flood forecasting using the copula entropy method -- Measures of correlations among rivers using copula entropy.
This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas. In addition, it extends the traditional bivariate model to trivariate or multivariate models. The specific applications covered include the study of flood frequency analysis, drought frequency analysis, dependence analysis, flood coincidence risk analysis and statistical simulation using copulas. The book offers a valuable guide for researchers, scientists and engineers working in hydrology and water resources, and will also benefit graduate or doctoral students with a basic grasp of copula functions who want to learn about the latest research developments in the field.
ISBN: 9789811305740$q(electronic bk.)Subjects--Topical Terms:
327526
Copulas (Mathematical statistics)
LC Class. No.: QA273.6
Dewey Class. No.: 519.535
Copulas and its application in hydrology and water resources[electronic resource] /by Lu Chen, Shenglian Guo. - Singapore :Springer Nature Singapore,2019. - x, 290 p. :ill. (some col.), digital ;24 cm. - Springer water,2364-6934. - Springer water..
Introduction -- Copula function -- Copula-based seasonal design flood calculation -- Drought analysis using copulas -- Copula-based flood coincidence risk analysis -- Copula-based multi-site streamflow simulation -- Copula-based forecast uncertainty evolution model for flood risk analysis -- Copula entropy -- Determination of input for Artificial Neural Networks for flood forecasting using the copula entropy method -- Measures of correlations among rivers using copula entropy.
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.
ISBN: 9789811305740$q(electronic bk.)Subjects--Topical Terms:
327526
Copulas (Mathematical statistics)
LC Class. No.: QA273.6
Dewey Class. No.: 519.535
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