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书目名称Copulas and Its Application in Hydrology and Water Resources影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0238186<br><br> <br><br>书目名称Copulas and Its Application in Hydrology and Water Resources影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0238186<br><br> <br><br>书目名称Copulas and Its Application in Hydrology and Water Resources网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0238186<br><br> <br><br>书目名称Copulas and Its Application in Hydrology and Water Resources网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0238186<br><br> <br><br>书目名称Copulas and Its Application in Hydrology and Water Resources被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0238186<br><br> <br><br>书目名称Copulas and Its Application in Hydrology and Water Resources被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0238186<br><br> <br><br>书目名称Copulas and Its Application in Hydrology and Water Resources年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0238186<br><br> <br><br>书目名称Copulas and Its Application in Hydrology and Water Resources年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0238186<br><br> <br><br>书目名称Copulas and Its Application in Hydrology and Water Resources读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0238186<br><br> <br><br>书目名称Copulas and Its Application in Hydrology and Water Resources读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0238186<br><br> <br><br>ONYM 发表于 2025-3-21 22:03:34
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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道学气 发表于 2025-3-22 20:06:44
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.过多 发表于 2025-3-22 23:01:10
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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