Dependence analysis of social contact behaviors under the impacts of COVID-19 based on a copula approach. [PDF]
Sci Total Environ, 2023 Ding H, Zhang J, Feng T, Liu R.
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TEMA (São Carlos), 2013 In this paper we propose a bivariate long-term model based on the Farlie-Gumbel-Morgenstern copula to model, where the marginals are assumed to be long-term promotion time structured. The proposed model allows for the presence of censored data and covariates.
Suzuki, A.K., Louzada, F., Cancho, V.G.
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Bivariate normal-geometric distribution with FGM copula: Properties and parameter estimation
International Journal of Chemistry, Mathematics and PhysicsIt is of practical importance to construct new effective statistical model for discrete and continuous data arising in the real world. The bivariate distribution with FGM copula whose two marginal distributions are normal and geometric, respectively, is proposed.
Sung-Hyon Ri, Hyon-A Kim, Kwang-Hyok Kim
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The effect of obesity on chronic diseases in USA: a flexible copula approach. [PDF]
Sci Rep, 2023 Dettoni R +4 more
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Journal of Statistical Theory and Applications (JSTA)Recently, a trigonometric transformation of the distribution function has become an interesting way to provide versatility and adaptability in data modeling as the parameter oscillates with a change in its value, and the periodic function controls the ...
Wafaa Anwar A. Hassanein +1 more
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On the development of new cosine-based probabilistic methods with applications to univariate and bivariate analyses of the wind speed energy. [PDF]
Heliyon, 2023 Alnssyan B, Alomair MA.
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Reliability Equivalence Factors of a Parallel System Subject to Weibull Distribution Using Multivariate FGM Copula [PDF]
American Journal of Applied Sciences, 2018 This paper analyze a parallel system consisted of n dependent components with lifetimes follow Weibull distribution. FGM Copula in multivariate case is used to generate the reliability function of the original system. Reduction method is introduced to improve system reliability. Other methods of hot, cold and warm duplication are established to improve
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Sensitivity Analysis for Survival Prognostic Prediction with Gene Selection: A Copula Method for Dependent Censoring. [PDF]
Biomedicines, 2023 Yeh CT, Liao GY, Emura T.
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Burst and Memory-aware Transformer: capturing temporal heterogeneity. [PDF]
Front Comput Neurosci, 2023 Lee B, Lee JH, Lee S, Kim CH.
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A stability property of Farlie-Gumbel-Morgenstern distributions [PDF]
, 2013 A copula is a function that completely describes the dependence structure between the marginal distributions. One of the most important parametric family of copulas is the Farlie-Gumbel-Morgenstern (FGM) family.
Stoica, Emil
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