Results 61 to 70 of about 33,492 (216)

An Algorithm for Fuzzy Negations Based-Intuitionistic Fuzzy Copula Aggregation Operators in Multiple Attribute Decision Making

open access: yesAlgorithms, 2020
In this paper, we develop a novel computation model of Intuitionistic Fuzzy Values with the usage of fuzzy negations and Archimedean copulas. This novel computation model’s structure is based on the extension of the existing operations of intuitionistic ...
Stylianos Giakoumakis   +1 more
doaj   +1 more source

Convergence of Archimedean Copulas [PDF]

open access: yes
Convergence of a sequence of bivariate Archimedean copulas to another Archimedean copula or to the comonotone copula is shown to be equivalent with convergence of the corresponding sequence of Kendall distribution functions.No extra differentiability ...
Charpentier, A., Segers, J.J.J.
core   +1 more source

Risk Assessment and Diagnosis Model for Real‐Time Flood Control Operation of a Multi‐Reservoir System

open access: yesLand Degradation &Development, Volume 37, Issue 15, Page 10658-10671, September 2026.
ABSTRACT Real‐time flood control operation of multi‐reservoir systems is affected by multiple sources of hydrological and operational uncertainties, which increase the complexity of risk propagation and decision‐making processes. Therefore, effective risk assessment and diagnosis are essential for supporting risk‐informed flood control operation.
Juan Chen   +5 more
wiley   +1 more source

Copulas for statistical signal processing (Part I) : extensions and generalization [PDF]

open access: yes, 2014
Existing works on multivariate distributions mainly focus on limited distribution functions and require that the associated marginal distributions belong to the same family. Although this simplifies problems, it may fail to deal with practical cases when
Wang, Zheng   +4 more
core   +3 more sources

Assessing the hydrodynamic boundary conditions for risk analyses in coastal areas: a multivariate statistical approach based on Copula functions [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2012
This paper presents an advanced approach to statistically analyse storm surge events. In former studies the highest water level during a storm surge event usually was the only parameter that was used for the statistical assessment.
T. Wahl, C. Mudersbach, J. Jensen
doaj   +1 more source

A Copula‐Based Regression Method to Predict Sediment Concentration and Load in Rivers Using Streamflow Data

open access: yesWater Resources Research, Volume 62, Issue 9, September 2026.
Abstract Pollution and deposition of sediments in rivers and streams are critical environmental, ecological, navigational, and recreational concerns. While several well‐known watershed models such as SWAT (Soil and Water Assessment Tool) and HSPF (Hydrological Simulation Program‐FORTRAN) are applied to predict sediment concentrations and loads in ...
Ying Ouyang
wiley   +1 more source

Multiplicative Archimedean Copula(乘积阿基米德Copula)

open access: yesZhejiang Daxue xuebao. Lixue ban, 2010
在乘法模式下,对阿基米德Copula进行了推广,提出了乘积阿基米德Copula.通过构造两类特殊的乘积阿基米德Copula,举出了若干乘积阿基米德Copula例子,并分析了关于尾部相依性、对称性等方面的性质.最后,在探讨阿基米德Copula和乘积阿基米德Copula的关系中,提出几个值得进一步讨论的问题.
WANGQin(王沁)   +2 more
doaj   +1 more source

Copulas in finance and insurance [PDF]

open access: yes, 2008
Copulas provide a potential useful modeling tool to represent the dependence structure among variables and to generate joint distributions by combining given marginal distributions. Simulations play a relevant role in finance and insurance.
Romera, Rosario, Molanes, Elisa M.
core   +1 more source

Climate‐Mode Precursors and the Predictability of Amazon Hot and Dry Extremes

open access: yesEarth's Future, Volume 14, Issue 8, August 2026.
Abstract We characterize the dependence between lagged large‐scale climate modes and Amazon climate extremes and assess whether monthly precursor signals enable early warning of compound hot‐dry events. A copula‐based framework analyses tail dependence between major climate drivers and precipitation and temperature anomalies at multiple lags ...
Sanaa Hobeichi   +5 more
wiley   +1 more source

Decoding Compound Flood Risk Under Nonstationary Conditions: A Separable Parametric Framework Revealing the Heterogeneous Effects of Driving Mechanisms

open access: yesWater Resources Research, Volume 62, Issue 7, July 2026.
Abstract Compound flooding in coastal environments arises from the interaction of extreme precipitation and elevated coastal water levels. Existing approaches typically rely either on process‐based hydrodynamic simulations or statistical characterizations of hazard drivers, constraining the capacity to quantify the contribution of individual mechanisms
Stergios Emmanouil   +4 more
wiley   +1 more source

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