Weighted extropy measures in general Morgenstern family under k-record values with application to medical data

In this paper, we study the marginal distribution of concomitants of k-record (KR) values from generalized Farlie–Gumbel–Morgenstern (GFGM) of bivariate distributions. In addition, the joint distribution of concomitants of KR for this family is obtained. Furthermore, some useful recurrence relations...

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Main Authors: M. Nagy, Adel Fahad Alrasheedi
Format: Article
Language:English
Published: AIP Publishing LLC 2024-01-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/5.0188895
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author M. Nagy
Adel Fahad Alrasheedi
author_facet M. Nagy
Adel Fahad Alrasheedi
author_sort M. Nagy
collection DOAJ
description In this paper, we study the marginal distribution of concomitants of k-record (KR) values from generalized Farlie–Gumbel–Morgenstern (GFGM) of bivariate distributions. In addition, the joint distribution of concomitants of KR for this family is obtained. Furthermore, some useful recurrence relations between moments of concomitants are derived. In addition, the hazard rate, the reversed hazard rate, and mean residual life functions of concomitants for this family are obtained. Some recent new measures of information, such as weighted extropy, weighted cumulative past extropy, and weighted cumulative residual extropy, are investigated for the concomitant of KR under the GFGM family. A non-parametric estimator of the proposed measure is provided by combining the empirical method with the concurrent use of KR in the GFGM family. Finally, we analyzed real-world data to examine our findings.
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spelling doaj.art-2467767693c348a3bce33b6b4cfe53272024-02-02T16:46:06ZengAIP Publishing LLCAIP Advances2158-32262024-01-01141015153015153-1710.1063/5.0188895Weighted extropy measures in general Morgenstern family under k-record values with application to medical dataM. Nagy0Adel Fahad Alrasheedi1Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi ArabiaDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi ArabiaIn this paper, we study the marginal distribution of concomitants of k-record (KR) values from generalized Farlie–Gumbel–Morgenstern (GFGM) of bivariate distributions. In addition, the joint distribution of concomitants of KR for this family is obtained. Furthermore, some useful recurrence relations between moments of concomitants are derived. In addition, the hazard rate, the reversed hazard rate, and mean residual life functions of concomitants for this family are obtained. Some recent new measures of information, such as weighted extropy, weighted cumulative past extropy, and weighted cumulative residual extropy, are investigated for the concomitant of KR under the GFGM family. A non-parametric estimator of the proposed measure is provided by combining the empirical method with the concurrent use of KR in the GFGM family. Finally, we analyzed real-world data to examine our findings.http://dx.doi.org/10.1063/5.0188895
spellingShingle M. Nagy
Adel Fahad Alrasheedi
Weighted extropy measures in general Morgenstern family under k-record values with application to medical data
AIP Advances
title Weighted extropy measures in general Morgenstern family under k-record values with application to medical data
title_full Weighted extropy measures in general Morgenstern family under k-record values with application to medical data
title_fullStr Weighted extropy measures in general Morgenstern family under k-record values with application to medical data
title_full_unstemmed Weighted extropy measures in general Morgenstern family under k-record values with application to medical data
title_short Weighted extropy measures in general Morgenstern family under k-record values with application to medical data
title_sort weighted extropy measures in general morgenstern family under k record values with application to medical data
url http://dx.doi.org/10.1063/5.0188895
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