[1] Balakrishnan, N. and Aggarwala, R. (2000). Progressive censoring, methods and applications, Boston, Birkhäuser.
[2] Kundu, D. and Joarder, A. (2006). Analysis of type-II progressively hybrid censored data, Computational Statistics and Data Analysis, 50(10): 2509-2528.
[3] Shoaee, S. and Khorram, E. (2015). Stress-strength reliability of a two-parameter bathtub-shaped lifetime distribution based on progressively censored samples, Communications in Statistics-Theory and Methods, 44(24); 5306-5328.
[5] Kohansal, A. (2019). On estimation of reliability in a multicomponent stress-strength model for a Kumaraswamy distribution based on progressively censored sample, Statistical Papers, 60(6): 2185-2224.
[6] Kohansal, A. and Rezakhah, S. (2019). Inference of R = P(Y < X) for two-parameter Rayleigh distribution based on progressively censored samples, Statistics, 53(1): 81-100.
[7] Lindley, D. V. (1980). Approximate Bayesian methods, Trabajos de Estadistica, 31(1): 281-288.
[8] Kizilaslan, F. and Nadar, M. (2018). Estimation of reliability in a multicomponent stress-strength model based on a bivariate Kumaraswamy distribution, Statistical Papers, 59(1): 307-340.
[9] Chen, M. H. and Shao, Q. M. (1999). Monte Carlo estimation of Bayesian Credible and HPD intervals, Journal of Computational and Graphical Statistics, 8(1): 69-92.
)