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Mathematical Sciences Letters
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Vol. 5 > No. 3

 
   

Statistical Inference of Concomitants Based on Morgenstern Family under Generalized Order Statistics

PP: 243-254
doi:10.18576/msl/050305
Author(s)
M. M. Mohie El-Din, Nahed S. A. Ali, M. M. Amein, M. S. Mohamed,
Abstract
In this paper, the joint densities of the concomitants of generalized order statistics (GOSís) for exponential and power function subfamilies of Morgenstern family are derived. Statistical inference such as maximum likelihood (ML) and Bayesian estimation under different types of loss functions based on informative and non-informative priors for the distribution parameters, reliability and cumulative hazard functions are obtained. In addition, Bayesian prediction bounds, Bayes predictive estimator and approximate confidence intervals of the estimators are considered. Applications of these results are given for concomitants of order statistics are presented.

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