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Information Measures for Generalized Order Statistics and Their Concomitants under General Framework from Huang-Kotz FGM Bivariate Distribution [PDF]

open access: yesEntropy, 2021
In this paper, we study the concomitants of dual generalized order statistics (and consequently generalized order statistics) when the parameters γ1,…,γn are assumed to be pairwise different from Huang–Kotz Farlie–Gumble–Morgenstern bivariate ...
Mohamed A. Abd Elgawad   +3 more
doaj   +2 more sources

Some Information Measures Properties of the GOS-Concomitants from the FGM Family [PDF]

open access: yesEntropy, 2022
In this paper we recall, extend and compute some information measures for the concomitants of the generalized order statistics (GOS) from the Farlie–Gumbel–Morgenstern (FGM) family.
Florentina Suter   +2 more
doaj   +2 more sources

Concomitants of Order Statistics from a Bivariate Generalized Linear Exponential Distribution: Theory and Practice [PDF]

open access: yesEntropy
This paper investigates the concomitants of order statistics from the bivariate generalized linear exponential (BGLE) distribution. We obtain the probability density function of a single concomitant and the joint probability density function of two ...
Areej M. AL-Zayd
doaj   +2 more sources

The Exact Joint Distribution of Concomitants of Order Statistics and Their Order Statistics under Normality

open access: yesRevstat Statistical Journal, 2013
In this work we derive the exact joint distribution of a linear combination of concomitants of order statistics and linear combinations of their order statistics in a multivariate normal distribution.
Ayyub Sheikhi , Mahbanoo Tata
doaj   +2 more sources

On Stochastic Comparisons of Concomitants of Generalized Order Statistics [PDF]

open access: yesJournal of Statistics Applications & Probability, 2023
In this article, the problem of comparing concomitants of generalized order statistics (GOSs) in terms of different types of stochastic orders is considered.
A. Mokhlis, Nahed   +2 more
core   +3 more sources

Concomitants of Dual Generalized Order Statistics from Bivariate Burr III Distribution [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2015
In this paper probability density function of single concomitant and joint probability density function of two concomitants of dual generalized order statistics from bivariate Burr III distribution are obtained and expressions for single and product ...
Haseeb Athar, Zuber Akhter, Nayabuddin
doaj   +4 more sources

Fisher Information, Asymptotic Behavior, and Applications for Generalized Order Statistics and Their Concomitants Based on the Sarmanov Family

open access: yesAxioms, 2023
In this paper, the Fisher information (FI), relevant to m-generalized order statistics (m-GOSs) and their concomitants of the shape-parameter of the Sarmanov family of bivariate distributions, is investigated.
Mohamed A. Abd Elgawad   +6 more
doaj   +1 more source

Concomitants of Dual Generalized Order Statistics from Morgenstern Type Bivariate Generalized Exponential Distribution [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2015
[9] introduced the concept of dual generalized order statistics (dgos) that enables a common approach to descending ordered random variables like reversed order statistics and lower record values.
Saeid Tahmasebi   +2 more
doaj   +1 more source

Dependence Concepts and Reliability Application of Concomitants of Order Statistics from the Morgenstern Family

open access: yesJournal of Statistical Theory and Applications (JSTA), 2021
The distribution theory and applications of concomitants from the Morgenstern family of bivariate distributions are discussed in Scaria and Nair, Biom. J. 41 (1999), 483–489.
Johny Scaria, Sithara Mohan
doaj   +1 more source

Farlie–Gumbel–Morgenstern Bivariate Moment Exponential Distribution and Its Inferences Based on Concomitants of Order Statistics

open access: yesStats, 2023
In this research, we design the Farlie–Gumbel–Morgenstern bivariate moment exponential distribution, a bivariate analogue of the moment exponential distribution, using the Farlie–Gumbel–Morgenstern approach.
Sasikumar Padmini Arun   +3 more
doaj   +1 more source

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