Bayesian prediction based on generalized order statistics using multiply type-II censoring

Statistics ◽  
2007 ◽  
Vol 41 (6) ◽  
pp. 495-504 ◽  
Author(s):  
Y. Abdel-Aty ◽  
J. Franz ◽  
M. A. W. Mahmoud
2011 ◽  
Vol 25 (2) ◽  
pp. 187-204 ◽  
Author(s):  
Mahdi Tavangar ◽  
Majid Asadi

The generalized order statistics (GOS) model is a unified model that contains the well-known ordered random data such as order statistics and record values. In the present article, we investigate some stochastic ordering results and aging properties of the conditional GOS. The results of the article subsume some of the existing results, which recently are obtained in the literature, on conditional GOS. In particular, our results hold for the model of progressively type II right censored order statistics without any restriction on the censoring scheme.


Sign in / Sign up

Export Citation Format

Share Document