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Title
Results on concomitants of generalized order statistics from Morgenstern new family of heavy-tailed distributions
Type Article
Keywords
Concomitants; Extropy measure; Farlie-Gumble-Morgenstern copula; Generalized order statistics; New family of heavy-tailed.
Abstract
In this paper, a new bivariate family of distributions is proposed by mixing up the new family of heavy-tailed distributions approach with the Farlie-Gumble- Morgenstern copula. The resultant family may be called the Farlie-Gumble-Morgenstern new family of heavy-tailed distributions. For the proposed family, some properties of the concomitants of generalized order statistics are obtained. The joint distribution of concomitants is also derived. Furthermore, for this new family, some properties of extropy for the concomitant of generalized order statistics are obtained. The method of maximum likelihood estimation is implemented to obtain the estimators of the parameters. Two sub-models are studied using the introduced approach.
Researchers Zahra Almaspoor (First researcher) , Saeid Tahmasebi (Second researcher)