Efficient Bayesian sampling plans for exponential distributions with type-I-censored samples

2012 ◽  
Vol 84 (5) ◽  
pp. 964-981 ◽  
Author(s):  
Tzong-Ru Tsai ◽  
Jyun-You Chiang ◽  
TaChen Liang ◽  
Ming-Chung Yang
2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
TaChen Liang

This paper studies the acceptance sampling for exponential distributions with type-I and type-II adaptive progressive hybrid censored samples. Algorithms are proposed for deriving Bayesian sampling plans. We compare the performance of the proposed sampling plans with the sampling plans of Lin and Huang (2012). The numerical results indicate that the proposed sampling plans outperform the sampling plans of Lin and Huang (2012).


2013 ◽  
Vol 44 (2) ◽  
pp. 113-122
Author(s):  
Tachen Liang

We compare the performances of two sampling plans, namely, the Lin-Liang-Huang (2002)'s Bayesian sampling plan $(n^*,\xi^*)$ and the Lin-Huang-Balakrishnan (2008a, 2010a)'s exact Bayesian sampling plan $(n_0,r_0,t_0,\xi_0)$. We also comment the accuracy of the values of the design parameters $(n_0,r_0,t_0,\xi_0)$ provided in Lin-Huang-Balakrishnan (2010a). We conclude that among the class of sampling plans $(n,r,t,\xi)$ of Lin et al.~(2008a, 2010a), the exact Bayesian sampling plan does not exist.


Sign in / Sign up

Export Citation Format

Share Document