Results 21 to 30 of about 177 (129)
Bivariate Unit-Weibull Distribution: Properties and Inference
Mathematics, 2023 In this article, we introduce a novel bivariate probability distribution that is absolutely continuous. Considering the Farlie–Gumbel–Morgenstern (FGM) copula and the unit-Weibull distribution, we can obtain a bivariate unit-Weibull distribution.
Roger Tovar-Falón +2 more
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Journal of Statistical Theory and Applications (JSTA), 2019 We introduce the generalized Farlie–Gumbel–Morgenstern (FGM) type bivariate-generalized exponential distribution. Some distributional properties of concomitants of order statistics as well as record values for this family are studied.
H. M. Barakat +3 more
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Statistical inference for the non-conforming rate of FGM Copula-Based bivariate exponential lifetime [PDF]
Journal of Mahani Mathematical Research, 2022 Lifetime performance index is widely used as process capability index to evaluate the performance and potential of a process. In manufacturing industries, the lifetime of a product is considered to be conforming if it exceeds a given lower ...
Zainab Abbasi Ganji +3 more
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A Bivariate Discrete Lindley Distribution and Applications [PDF]
المجلة العلمية للدراسات والبحوث المالية والتجاريةIn this paper a bivariate discrete Lindley distribution has been derived from a discrete Lindely distribution using Farlie-Gumbel-Morgenstern copula. Some properties of this distribution such as probability generating function, conditional distributions,
Yasser Amer +2 more
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On the Use of Copula for Quality Control Based on an AR(1) Model
Mathematics, 2021 Manufacturing for a multitude of continuous processing applications in the era of automation and ‘Industry 4.0’ is focused on rapid throughput while producing products of acceptable quality that meet customer specifications.
Timothy M. Young +2 more
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Valuation of Equity-Linked Death Benefits on Two Lives with Dependence
Risks, 2023 The purpose of this paper is to investigate equity-linked death benefits for joint alive and last survivor individuals. Utilizing Farlie–Gumbel–Morgenstern (FGM) type dependency modeling framework, we first analyze the joint distribution of the couple ...
Kokou Essiomle, Franck Adékambi
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Mathematics, 2020 The extreme value theory is expanded by proposing and studying a new version of the Fréchet model. Some new bivariate type extensions using Farlie–Gumbel–Morgenstern copula, modified Farlie–Gumbel–Morgenstern copula, Clayton copula, and Renyi’s entropy ...
Mukhtar M. Salah +3 more
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The Cambanis family of bivariate distributions: Properties and applications
Statistica, 2016 The Cambanis family of bivariate distributions was introduced as a generalization of the Farlie-Gumbel-Morgenstern system. The present work is an attempt to investigate the distributional characteristics and applications of the family.
N. Unnikrishnan Nair +2 more
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Journal of Mathematics, 2023 In this paper, the marginal distribution of concomitants of k−record values (CKR) based on the Huang–Kotz Farlie–Gumbel–Morgenstern (HK-FGM) family of bivariate distributions is derived.
M. Nagy, Yusra A. Tashkandy
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New results on perturbation-based copulas
Dependence Modeling, 2021 A prominent example of a perturbation of the bivariate product copula (which characterizes stochastic independence) is the parametric family of Eyraud-Farlie-Gumbel-Morgenstern copulas which allows small dependencies to be modeled.
Saminger-Platz Susanne +4 more
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