Results 21 to 30 of about 34,600 (197)
Bivariate Analysis of Extreme Precipitation Using Copula Functions in Arid and Semi-Arid Regions
Atmosphere, 2023 This study analyzed extreme precipitation events, using daily rainfall data for 1966–2015. A Mann–Kendall trend test was used to evaluate trends in extreme precipitation, copula functions were applied to compute the joint return periods of extreme events,
Zeynab Pabaghi +4 more
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Correlation between Rainfall and Runoff in Fuchun River Basin Based on Copula Functions and Kernel Density Estimation [PDF]
长江科学院院报[Objective] Rainfall and runoff are two important hydrological variables in river basins, exhibiting the characteristic of random distribution. In-depth analysis of the relationship between rainfall and runoff holds significant importance for watershed ...
YANG Sheng-mei, ZHU De-kang, CHENG Xiang, LI Bo, ZHU Yan-ze, MA Wen-sheng
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Simultaneous Analysis of Monthly Water Consumption, Air Temperature and Water Supply Network Pressure Using Copula Functions, Case Study: Zone No. One of Isfahan City [PDF]
علوم و مهندسی آب و فاضلاب, 2023 Analysis and control of water consumption in water supply and distribution networks is important issues, given the country's climatic conditions and the fact that they can be of great help to designers and managers of water resources.
Mohammadhossein Keykhosravi +3 more
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Information Measures via Copula Functions [PDF]
Journal of Statistical Research of Iran, 2010 In applications of differential geometry to problems of parametric inference, the notion of divergence is often used to measure the separation between two parametric densities. Among them, in this paper, we will verify measures such as Kullback-Leibler information, J-divergence, Hellinger distance, α-Divergence, . . . and so on.
R. Mohtashami Borzadaran, M. Amini
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Method to Select Copula Functions
Revista Colombiana de Estadística, 2019 Copula functions have been extensively used in applied statistics, becoming a good alternative for modeling the dependence of multivariate data. Each copula function has a different dependence structure. An important issue in these applications is the choice of an appropriate copula function model for each one; thus common classical or Bayesian ...
Jorge Alberto Achcar +2 more
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A copula-based bivariate integer-valued autoregressive process with application
Modern Stochastics: Theory and Applications, 2019 A bivariate integer-valued autoregressive process of order 1 (BINAR(1)) with copula-joint innovations is studied. Different parameter estimation methods are analyzed and compared via Monte Carlo simulations with emphasis on estimation of the copula ...
Andrius Buteikis, Remigijus Leipus
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Bivariate copulas on the exponentially weighted moving average control chart [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2016 This paper proposes four types of copulas on the Exponentially Weighted Moving Average (EWMA) control chart when observations are from an exponential distribution using a Monte Carlo simulation approach. The performance of the control chart is based on
Sasigarn Kuvattana +3 more
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Analyzing the duration frequency and severity of drought using copula function in the Yazd city
Journal of Water and Climate Change, 2022 Duration and severity are the two main variables used in drought analysis. The copula functions are appropriate for multivariate drought analysis, as it lacks the limitations of the classical multivariate distribution function.
Mehrtash EskandariPour +1 more
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Mathematics, 2021 For multidimensional dependent cases with incomplete probability information of random variables, global sensitivity analysis (GSA) theory is not yet mature.
Zhiwei Bai +4 more
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Hydrology Research, 2020 Copulas are appropriate tools in drought frequency analysis. However, uncertainties originating from copulas in such frequency analysis have not received significant consideration. This study aims to develop a drought severity-areal extent-frequency (SAF)
Zhanling Li +3 more
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