[2] M. Han, The structure of hierarchical prior distribution and its applications, Chinese Operations Research and Management Science 6 (3) (1997) 31–40.
[3] D.V. Lindley, A.F. Smith, Bayes estimation for the linear model, Journal of the Royal Statistical Society-Series B 34 (1972) 1–41.
[4] Johnson N L, Kotz S, and Balakrishman S. (1994). Continuos Univariate Distributions, 456.
[5] Han M. The hierarchical Bayesian estimation of failure-rate of exponential distribution of zero-failure data. Journal of Engineering Mathematics 1998; 15(4): 135-138.
[6] Ling Wei, Yimin Shi. Bayesian estimation of the Pascal distribution’s parameter, Pure and Applied Mathematics, 1999, 15 (2): 13-16.
[7] M. Han, Y.Q. Li, Hierarchical Bayesian estimation of the products reliability based on zero-failure data, Journal of Systems Science and Systems Engineering 8 (4) (1999) 467–471.
[8] Han M. The synthesize hierarchical Bayesian estimation of failure rate of zero-failure data, Operations Research and Management Science 1999; 8(1): 1-5.
[9] Han M and Ding Y. Synthesized expected Bayesian method of parametric estimate. Journal of Systems Science and Systems Engineering.2004; 13(1): 98-111, http://dx.doi.org/10.1007/s11518-006-0156-0.
[10] Ming Han. Synthetic Expected Bayesian Estimation,.Acta Mathematica Scientia, 2005, 25A (5) : 678-684.
[11] Han M. Expected Bayesian estimation of failure probability and its character. Acta Mathematica Scientia 2007; 3: 013.
[12] Han Ming. E-Bayesian Estimation and Hierarchical Bayesian Estimation of Estate Probability [J]. Operations Research and Management Science(2006) 15(5): 70-74.
[13] Wang Jianhua, Xia Xiaoyan. The property of Hierarchical Bayesian and E-Bayesian Estimation of Exponent Distribution’s Parameter [J].Mathematica Applicata. (2008) 21S: 33-36.
[14] Han M. E-Bayesian estimation and hierarchical Bayesian estimation of failure rate. Applied Mathematics A Journal of Chinese Universities 2008; 23(4): 399-407.
[15] Ming Han. E-Bayesian estimation and hierarchical Bayesian estimation of failure rate, Applied Mathematical Modelling, 2009,33(4): 1915-1922.
[16] Wang Jianhua, Mao Juan. The Property of Hierarchical Bayesian and E-Bayesian Estimation of Binomial Distribution’s Parameter [J] Pure and Applied Mathematics.( 2009) 25(2):223-230.
[17] T. Ando, A. Zellner, Hierarchical Bayesian analysis of the seemingly unrelated regression and simultaneous equations models using a combination of direct Monte Carlo and importance sampling techniques, Bayesian Analysis 5 (1) (2010) 65–96.
[18] Wang Jianhua, Yuan Li. Properties of Hierarchical Bayesian and E-Bayesian Estimations of the Failure Probability in Zero-failure Date[J].Chinese Journal of Engineering Mathematics, (2010) 27(1):78-84.
[19] Zeinhum F. Jaheen , Hassan M. Okasha. E Bayesian estimation for the Burr type XII model based on type-2.censoring Applied Mathematical Modelling 35 (2011) 4730–4737.
[20] Ming Han. E-Bayesian estimation of the reliability derived from Binomial distribution, Applied Mathematical Modelling, 2011,35(5):2419-2424.
[21] Han Ming. Estimation of Reliability Derived from Binomial Distribution in Zero-Failure Data. 2015, 20(4): 454-457.
[22] Balakrishnan N, Aggarwala R (2000). Progressive Censoring: Theory, Methods and Applications. Birkhauser, Boston.
[23] Kundu D (2008). Bayesian Inference and Reliability Sampling Plan for Weibull Distribution." Technometrics, 50, 144-154.
[24] Kundu D, Pradhan B (2009). Bayesian Inference and Life Testing Plans for Generalized Exponential Distribution." Science in China, Series A: Mathematics, 52(6), 1373-388.
[25] Cramer E, Iliopoulos G (2010). Adaptive Progressive Type-II Censoring." Test, 19(2), 342-358.
[26] Berger J. O.,"Statistical decision theory and Bayesian analysis (second Ed)",New York, springer-verlag (1985).