Main Article Content
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.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following License
CC BY: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
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