Results 141 to 150 of about 925 (187)

Efficient estimation for the proportional hazards model with bivariate current status data. [PDF]

Lifetime Data Anal, 2008
Wang L, Sun J, Tong X.
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FGM generated Archimedean copulas with concave multiplicative generators

2021
Summary: The Farlie-Gumble-Morgenstren (FGM) family and archimedean family are the most popular parametric families of copulas. In the present paper, we propose an extension of archimedean copulas with concave multiplicative generators in the style of FGM family.
Doodman, N., Amini, M., Jabbari, H., Dolati, A.   +3 more
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Stochastic representation of FGM copulas using multivariate Bernoulli random variables

Computational Statistics & Data Analysis, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christopher Blier-Wong, Hélène Cossette, Etienne Marceau   +2 more
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Stochastic comparisons on extreme order statistics from observations associated by FGM copula

Communications in Statistics - Theory and Methods, 2021
This study deals with the stochastic comparison of extreme order statistics from random samples with FGM copula or FGM survival copula.
Boyang Wang, Rui Fang
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Constructing Generalized FGM Copulas by Means of Certain Univariate Distributions

Metrika, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fischer, Matthias, Klein, Ingo
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Risk concentration based on Expectiles for extreme risks under FGM copula

Insurance: Mathematics and Economics, 2015
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Mao, Tiantian, Yang, Fan
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A new extension of the FGM copula with an application in reliability

Communications in Statistics - Theory and Methods, 2020
We propose a new symmetric extension of the bivariate Farlie-Gumbel-Morgenstern (FGM) copula with given marginals.
Rasha Ebaid, Walid Elbadawy, Essam Ahmed, Abdalla Abdelghaly   +3 more
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Directional Dependence of Genes Using Survival Truncated FGM Type Modification Copulas

Communications in Statistics - Simulation and Computation, 2009
A multivariate distribution can be represented in terms of its underlying margins by binding these margins together using a copula function (Sklar, 1959). Here, we propose a new class of survival FGM-type modification truncated copulas which quantify dependency and incorporate directional dependence.
Jong-Min Kim, Yoon-Sung Jung, Tim Soderberg   +2 more
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A comprehensive extension of the FGM copula

Statistical Papers, 2015
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Parameter estimation of bivariate distributions in presence of outliers: An application to FGM copula

Journal of Computational and Applied Mathematics, 2018
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B.M. Taheri, H. Jabbari, M. Amini
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