Results 1 to 10 of about 153,166 (217)
New Bivariate Family of Distributions Based on Any Copula Function: Statistical Properties
Heliyon, 2023 In this paper, new bivariate family of distributions based on any copula is established. Of this, we introduce new bivariate Topp-Leone family based on Farlie-Gumbel-Morgenstern (FGM) copula.
Ali A Al-Shomrani
exaly +3 more sources
Construction of a bivariate copula by Rüschendorf’s method
Cumhuriyet Science Journal, 2021 In this paper, a new copula model with given unit marginals is proposed, based on Rüschendorf’s Method. A new bivariate copula family is introduced by adding a proper term to independence copula. Thus, we avoid the complexity of the proposed copula model.
Mehmet Yılmaz, Muhammet Bekçı
doaj +2 more sources
Trivariate copula to design coastal structures [PDF]
Natural Hazards and Earth System Sciences, 2021 Some coastal structures must be redesigned in the future due to rising sea levels caused by climate change. The design of structures subjected to the actions of waves requires an accurate estimate of the long return period of such parameters as wave ...
O. Orcel, P. Sergent, F. Ropert
doaj +1 more source
Bivariate Generalized Rayleigh Distribution Based on Clayton Copula [PDF]
The Egyptian Statistical Journal, 2021 The bivariate generalized Rayleigh distribution is an important lifetime distribution in survival analysis. In this paper, Clayton copula and generalized Rayleigh marginal distribution are used for creating bivariate distribution which are called ...
Ehab M. Almetwally +1 more
doaj +1 more source
Ekoist Journal of Econometrics and Statistics, 2023 In this study, compensation payments for Turkish motor vehicles’ compulsory third-party liability insurance between 2018 and 2022 are modeled from a comparative perspective using regression-based and copula-based multivariate statistical methods.
Övgücan Karadağ Erdemir
doaj +1 more source
A Class of Copula-Based Bivariate Poisson Time Series Models with Applications
Computation, 2021 A class of bivariate integer-valued time series models was constructed via copula theory. Each series follows a Markov chain with the serial dependence captured using copula-based transition probabilities from the Poisson and the zero-inflated Poisson ...
Mohammed Alqawba +2 more
doaj +1 more source
Modeling and Simulating Rainfall and Temperature Using Rotated Bivariate Copulas
Hydrology, 2023 Climate change is a significant environmental challenge that affects water resources, agriculture, health, and other aspects of human life. Bivariate modeling is a statistical method used to analyze the relationship between variables such as rainfall and
Giovanni De Luca, Giorgia Rivieccio
doaj +1 more source
A Mixture of Regular Vines for Multiple Dependencies
Journal of Probability and Statistics, 2021 To uncover complex hidden dependency structures among variables, researchers have used a mixture of vine copula constructions. To date, these have been limited to a subclass of regular vine models, the so-called drawable vine, fitting only one type of ...
Fadhah Amer Alanazi
doaj +1 more source
Comportement extrémal des copules diagonales et de Bertino
Comptes Rendus. Mathématique, 2021 The maximal attractors of bivariate diagonal and Bertino copulas are determined under suitable regularity conditions. Some consequences of these facts are drawn, namely bounds on the maximal attractor of a symmetric copula with a given diagonal section ...
Genest, Christian, Sabbagh, Magid
doaj +1 more source
Description of the Joint Probability of Significant Wave Height and Mean Wave Period
Journal of Marine Science and Engineering, 2022 The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
doaj +1 more source