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Bayesian Inference for Concomitants based on Weibull Subfamily of Morgenstern Family Under Generalized Order Statistics
Journal article   Open access

Bayesian Inference for Concomitants based on Weibull Subfamily of Morgenstern Family Under Generalized Order Statistics

M Mohie El-Din, Nahed A Ali, M Amein and M Mohamed
Pakistan journal of statistics and operation research, Vol.12(1), pp.73-87
01/01/2016
DOI: https://doi.org/10.18187/pjsor.v12i1.1134

Abstract

Bayesian analysis Density Estimates Inference Maximum likelihood estimates Operations research Pakistan Statistics
In this paper, for Weibull subfamily of Morgenstern family, the joint density of the concomitants of generalized order statistics (GOS's) is used to obtain the maximum likelihood estimates (MLE) and Bayes estimates for the distribution parameters. Applications of these results for concomitants of order statistics are presented.
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https://doi.org/10.18187/pjsor.v12i1.1134View
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