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Abstract
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.
Keywords
Bayesian estimation
Concomitants
Generalized order statistics
Maximum likelihood estimation
Morgenstern family.
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Copyright © 2016 Pakistan Journal of Statistics and Operation Research
Creative Commons Attribution 4.0 International (CC BY 4.0)
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How to Cite
EL-Din, M. M., Ali, N. S., Amein, M., & Mohamed, M. (2016). Bayesian Inference for Concomitants based on Weibull Subfamily of Morgenstern Family Under Generalized Order Statistics. Pakistan Journal of Statistics and Operation Research, 12(1), 73-87. https://doi.org/10.18187/pjsor.v12i1.1134