Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Farlie–Gumbel–Morgenstern copula"'
Autor:
Dina A. Ramadan, Mustafa M. Hasaballah, Nada K. Abd-Elwaha, Arwa M. Alshangiti, Mahmoud I. Kamel, Oluwafemi Samson Balogun, Mahmoud M. El-Awady
Publikováno v:
Axioms, Vol 13, Iss 11, p 796 (2024)
In this research, we present a new distribution, which is the bivariate alpha power Burr-XII distribution, based on the alpha power Burr-XII distribution. We thoroughly examine the key features of our newly developed bivariate model. We introduce a n
Externí odkaz:
https://doaj.org/article/e13422c42fc14760ba869d0c225f50c5
Publikováno v:
Axioms, Vol 13, Iss 10, p 664 (2024)
In this paper, we address the analysis of bivariate lifetime data from a length-biased exponential distribution observed under Type II progressive censoring with random removals, where the number of units removed at each failure time follows a binomi
Externí odkaz:
https://doaj.org/article/785e6d17bd8343fd99a9b865e8094b19
Publikováno v:
Journal of Mahani Mathematical Research, Vol 11, Iss 2, Pp 97-118 (2022)
In this survey, two new control charts CCLR and CCALR for bivariate exponential variables by dependence structure based on Farlie-Gumbel-Morgenstern copula model are introduced. Simulation study is done to make a comparison between two proposed contr
Externí odkaz:
https://doaj.org/article/a10baebf6adf4b798e97f3965ac0a1f0
Statistical inference for the non-conforming rate of FGM Copula-Based bivariate exponential lifetime
Publikováno v:
Journal of Mahani Mathematical Research, Vol 11, Iss 1, Pp 1-27 (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 g
Externí odkaz:
https://doaj.org/article/a5c6d7b5f30a4ef3974a568b1f766208
Publikováno v:
Dependence Modeling, Vol 9, Iss 1, Pp 347-373 (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. We introduce and d
Externí odkaz:
https://doaj.org/article/6ade1b4eb22c4c2e88570bfe86f2ea51
Publikováno v:
Mathematics, Vol 11, Iss 13, p 2986 (2023)
In survival analyses, infections at the catheter insertion site among kidney patients using portable dialysis machines pose a significant concern. Understanding the bivariate infection recurrence process is crucial for healthcare professionals to mak
Externí odkaz:
https://doaj.org/article/147bec59fac94631bb6e3ae4735331e5
Publikováno v:
Statistics in Transition. New Series. 22(3):99-121
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1002347
Autor:
Kokou Essiomle, Franck Adékambi
Publikováno v:
Risks, Vol 11, Iss 1, p 21 (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 c
Externí odkaz:
https://doaj.org/article/07e07d0894c34292b11b2db23ac2be09
Autor:
Ferhan Baş Kaman, Hülya Olmuş
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 20, Iss 2 (2021)
In this study a new mixture copula has been obtained by creating a linear combination of product copula with copula which is obtained with marginal distributions of order statistics which was proposed by Dolati and Úbeda-Flores, Kybernetika. 45 (200
Externí odkaz:
https://doaj.org/article/7ee9296dce0e44ae8e36b9566302ca6a
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