May 6, 2024
Saeid Tahmasebi

Saeid Tahmasebi

Academic Rank: Associate professor
Address: Department of Statistics , Persian Gulf University , Iran
Degree: Ph.D in Statistics
Phone: 077-31223329
Faculty: Faculty of Intelligent Systems and Data Science

Research

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.
Journal Journal of Statistical Modelling: Theory and Applications
DOI http://jsm.yazd.ac.ir/issue_429_430.html
Researchers Zahra Almaspoor (First researcher) , Saeid Tahmasebi (Second researcher)

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.