標題: Titlebook: Copulas and Its Application in Hydrology and Water Resources; Lu Chen,Shenglian Guo Book 2019 Springer Nature Singapore Pte Ltd. 2019 Copu [打印本頁] 作者: stripper 時間: 2025-3-21 16:03
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作者: ONYM 時間: 2025-3-21 22:03 作者: 射手座 時間: 2025-3-22 02:33 作者: engender 時間: 2025-3-22 07:02 作者: Soliloquy 時間: 2025-3-22 11:06 作者: 道學(xué)氣 時間: 2025-3-22 13:17
Copula-Based Method for Multisite Monthly and Daily Streamflow Simulation,d is proposed for generating long-term multisite monthly and daily streamflow data. A multivariate copula, which is established based on bivariate copulas and conditional probability distributions, is employed to describe temporal dependences (single site) and spatial dependences (between sites). Mo作者: 道學(xué)氣 時間: 2025-3-22 20:06
Uncertainty Analysis of Hydrologic Forecasts Based on Copulas,ion. The results show that the copula-based HUP is comparable to the meta-Gaussian HUP regarding the posterior median forecasts. Besides, the probabilistic forecasts produced by the copula-based HUP have slightly higher reliability and lower resolution, as compared to those of the meta-Gaussian HUP.作者: 過多 時間: 2025-3-22 23:01 作者: 財主 時間: 2025-3-23 03:07 作者: 咽下 時間: 2025-3-23 06:43
Correlations Among Rivers Using Copula Entropy, concept of total correlation, computed by the copula entropy method, is applied to measuring the dependence. This method only needs to calculate the copula entropy instead of the marginal or joint entropy, which estimates the total correlation more directly and avoids the accumulation of systematic作者: 用手捏 時間: 2025-3-23 10:32
Understanding Web Accessibilitye simulated and used to determine the effect of forecast uncertainty on real-time reservoir operation. Results show that using the forecasted inflow coupled with the pre-release module for reservoir operation in flood seasons will not increase flood risks.作者: helper-T-cells 時間: 2025-3-23 15:08
Copula-Based Uncertainty Evolution Model for Flood Forecasting,e simulated and used to determine the effect of forecast uncertainty on real-time reservoir operation. Results show that using the forecasted inflow coupled with the pre-release module for reservoir operation in flood seasons will not increase flood risks.作者: 難管 時間: 2025-3-23 18:52 作者: vitreous-humor 時間: 2025-3-23 22:31
Overview of Accessible TechnologiesResults indicate that the CE method could effectively identify inputs for the ANN with smallest . values for training and validation data, and the ANN models coupled with the CE method perform better than the traditional linear correlation analysis (LCA) method.作者: BOOR 時間: 2025-3-24 04:52 作者: PALL 時間: 2025-3-24 09:46
Flood Forecasting Using Copula Entropy Method,Results indicate that the CE method could effectively identify inputs for the ANN with smallest . values for training and validation data, and the ANN models coupled with the CE method perform better than the traditional linear correlation analysis (LCA) method.作者: LOPE 時間: 2025-3-24 13:10
2364-6934 termining the input for artificial neural networks for floodThis 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 tr作者: 和平主義者 時間: 2025-3-24 15:53
Internet Authentication Service (IAS),and the dependence analysis of hydrological variables. Therefore, these three analytical methods are reviewed and discussed in this chapter. The copula and copula entropy methods are introduced in hydrology and water resources. Finally, the scopes and organizations of this book are presented.作者: Soliloquy 時間: 2025-3-24 19:39 作者: 心痛 時間: 2025-3-25 03:11 作者: 職業(yè)拳擊手 時間: 2025-3-25 05:25 作者: miracle 時間: 2025-3-25 08:38
Copulas and Its Application in Hydrology and Water Resources978-981-13-0574-0Series ISSN 2364-6934 Series E-ISSN 2364-8198 作者: Meager 時間: 2025-3-25 13:54 作者: jagged 時間: 2025-3-25 18:47
Springer Waterhttp://image.papertrans.cn/c/image/238186.jpg作者: heterogeneous 時間: 2025-3-25 23:33
Overview of Accessible TechnologiesThis chapter discusses the copula theory. The copula function is introduced, whose definition and properties are given. Two widely used copulas, namely Archimedean and Meta-elliptical copulas, are discussed. The parameter estimation and goodness-of-fit methods are given. Finally, the copula entropy theory is presented.作者: 燦爛 時間: 2025-3-26 00:46
Copula Theory,This chapter discusses the copula theory. The copula function is introduced, whose definition and properties are given. Two widely used copulas, namely Archimedean and Meta-elliptical copulas, are discussed. The parameter estimation and goodness-of-fit methods are given. Finally, the copula entropy theory is presented.作者: quiet-sleep 時間: 2025-3-26 06:08
Internet Authentication Service (IAS),tivariate statistical analyses, which is related to the univariate hydrological frequency analysis, the multivariate hydrological frequency analysis, and the dependence analysis of hydrological variables. Therefore, these three analytical methods are reviewed and discussed in this chapter. The copul作者: 大范圍流行 時間: 2025-3-26 09:25 作者: Engaging 時間: 2025-3-26 13:09 作者: mosque 時間: 2025-3-26 17:31 作者: 戰(zhàn)役 時間: 2025-3-26 21:56
Overview of Accessible Technologiesh flood coincidences in consideration of flood magnitudes and the time (dates) of occurrence. The Pearson Type III distribution and the Log Pearson Type III are selected as the marginal distributions of flood magnitudes for annual maximum flood series, and the mixed von Mises distribution is selecte作者: 裝入膠囊 時間: 2025-3-27 03:40 作者: degradation 時間: 2025-3-27 08:34
Overview of Accessible Technologiesion. The results show that the copula-based HUP is comparable to the meta-Gaussian HUP regarding the posterior median forecasts. Besides, the probabilistic forecasts produced by the copula-based HUP have slightly higher reliability and lower resolution, as compared to those of the meta-Gaussian HUP.作者: extemporaneous 時間: 2025-3-27 12:25 作者: 哀求 時間: 2025-3-27 13:46
Overview of Accessible Technologiesnt steps in the ANN development is the determination of significant input variables. This chapter proposes a new method based on the copula entropy (CE) theory to identify the inputs of an ANN model. Two tests are carried out for verifying the accuracy and performance of the CE method. The CE theory作者: muster 時間: 2025-3-27 20:13 作者: incredulity 時間: 2025-3-27 22:27
https://doi.org/10.1007/978-981-13-0574-0Copula theory; Application in hydrology and water resources; Hydrological frequency analysis; Risk anal作者: 可行 時間: 2025-3-28 04:30 作者: WATER 時間: 2025-3-28 07:36 作者: septicemia 時間: 2025-3-28 12:59 作者: 惡心 時間: 2025-3-28 18:01 作者: 偶像 時間: 2025-3-28 20:04 作者: 連系 時間: 2025-3-28 23:18
Overview of Accessible Technologiesorges Reservoir (TGR) are analyzed. Results show that the von Mises distribution can fit the observed flood dates data well. The X-Gumbel copula is selected for risk analysis. Based on the proposed model, the coincidence and conditional probabilities for any return period can be obtained.作者: RAGE 時間: 2025-3-29 07:04
Implementing Accessibility in the Enterprise of the method is that the trivariate copula can be established using three bivariate copulas and the model parameters can be easily estimated by the Kendall tau rank correlation coefficient. The method provides a new tool for multisite flow data stochastic simulation.作者: alabaster 時間: 2025-3-29 09:37 作者: 人類學(xué)家 時間: 2025-3-29 12:44
Copulas and Its Application in Hydrology and Water Resources
