基本信息：

韩明，男，博士，二级教授。E-mail：hanming618@21cn.com

研究方向：

贝叶斯统计，可靠性统计，多元数据统计建模.

科研经历：

主持的科研项目：

1．浙江省自然科学基金项目，无失效数据情形可靠性参数估计，2001-2003.

2．福建省自然科学基金项目，可靠性参数的修正Bayes 估计法及其应用，2005-2007.

3．福建省自然科学基金项目，一种参数估计方法的研究与应用，2009-2011.

4．宁波市自然科学基金项目，无失效数据可靠性参数估计的研究与应用，2013-2014.

发表的学术论文（期刊杂志论文、会议论文）：

[1] Ming Han. Study on the effect of the different prior distributions on E-Bayesian estimation of failure probability and its E-posterior risk. Communications in Statistics - Simulation and Computation. Published online: 08 Aug 2020. https://doi.org/10.1080/03610918.2020.1804583

[2] Ming Han. Take a look at the hierarchical Bayesian estimation of parameters from several different angles. Communications in Statistics -Theory and Methods. Published online: 30 Mar 2022. https://doi.org/10.1080/03610926.2022.2056752

[3] Ming Han. E-Bayesian estimations of parameter and its evaluation standard: E-MSE (expected mean square error) under different loss functions. Communications in Statistics - Simulation and Computation. 2021, 50: 4386-4399.

[4] Ming Han. A study on the effect of the loss function on Bayesian estimation and posterior risk of binomial distribution. Communications in Statistics -Theory and Methods. 2021, 50: 1858-1872.

[5] Ming Han. The E-Bayesian estimation and its E-MSE of Pareto distribution parameter under different loss functions. Journal of Statistical Computation and Simulations. 2020, 90: 1834–1848.

[6] Ming Han. E-Bayesian estimation and its E-posterior risk of the exponential distribution parameter based on complete and type I censored samples. Communications in Statistics -Theory and Methods. 2020, 49: 1858-1872.

[7] Ming Han. E-Bayesian estimations of the reliability and its E-posterior risk under different loss functions. Communications in Statistics - Simulation and Computation. 2020, 49: 1527–1545.

[8] Ming Han. E-Bayesian estimation and its E-MSE under the scaled squared error loss function, for exponential distribution as example. Communications in Statistics - Simulation and Computation. 2019, 48: 1880-1890.

[9] Ming Han. E-Bayesian estimation of the exponentiated distribution family parameter under LINEX loss function, Communications in Statistics -Theory and Methods. 2019, 48: 648–659.

[10] 韩明. 不同损失函数下Poisson分布参数的E-Bayes估计及其E-MSE. 数学物理学报，2019, 39 A (3): 664-673.

[11] Ming Han. The E-Bayesian and hierarchical Bayesian estimations for the system reliability parameter. Communications in Statistics -Theory and Methods. 2017, 46: 1606–1620.

[12] Ming Han. The E-Bayesian and hierarchical Bayesian estimations of Pareto distribution parameter under different loss functions. Journal of Statistical Computation and Simulation. 2017, 87: 577-593.

[13] Ming Han. Estimation of reliability derived from binomial distribution in zero-failure data. Journal of Shanghai Jiaotong University (Science). 2015, 20(4): 454-457.

[14] Ming Han. The M-Bayesian credible limits of the reliability derived from binomial distribution. Communications in Statistics-Theory and Methods. 2012, 41(8): 3814-3830.

[15] Ming Han. E-Bayesian estimation of the reliability derived from binomial distribution. Applied Mathematical Modelling. 2011, 35:2419-2424.

[16] Ming Han. E-Bayesian estimation and hierarchical Bayesian estimation of failure probability. Communications in Statistics-Theory and Methods. 2011, 40:3303–3314.

[17] 韩明. 无失效数据下液体火箭发动机E-Bayes可靠性分析. 航空学报, 2011, 32 (12): 2213-2219.

[18] Ming Han. E-Bayesian estimation and hierarchical Bayesian estimation of failure rate. Applied Mathematical Modelling. 2009, 33:1915-1922.

[19] 韩明. 可靠性工程中参数的E-Bayes 估计法及其应用. 兵工学报, 2009, 30(11): 1473-1476.

[20] Ming Han. Two-sided M-Bayesian credible limits method of reliability parameters and its applications. Communications in Statistics-Theory and Methods. 2008, 37(10): 1659-1670.

[21] 韩明. 失效率的E-Bayes估计和多层Bayes估计. 高校应用数学学报, 2008, 23(4): 399-407.

[22] 韩明. 可靠性参数的M-Bayes可信限. 系统工程与电子技术，2008，30(8):1592-1594.

[23] Ming Han. E-Bayesian estimation of failure probability and its application. Mathematical and Computer Modelling. 2007, 45: 1272-1279.

[24] 韩明. 位置-尺度参数模型的可靠性分析. 兵工学报, 2006, 27(4):690-694.

[25] 韩明，丁元耀. 失效率的综合E-Bayes估计. 数学物理学报，2005, 25A(5):678-684.

[26] Ming Han, Yuanyao Ding. Synthesized expected Bayesian method of parametric estimate. Journal of Systems Science and Systems Engineering. 2004, 13(1): 98-111.

[27] 韩明. 无失效数据的加权Bayes估计. 中国统计学报(台湾), 2003, 41(2):159-174.

[28] 韩明. 产品无失效数据的综合处理. 机械工程学报, 2003, 39(2):129-132.

[29] Ming Han, Yuping Cui. Processing for zero-failure data of the products. Journal of Systems Engineering and Electronics. 2002, 13(3):91-97.

[30] 韩明.《统计研究》论文作者数量的统计分析. 统计研究, 2002, 3:62-64.

[31] 韩明. 无失效数据可靠性进展. 数学进展. 2002, 31(2):7-19.

[32] Ming Han. Estimation of parameter in the case of zero-failure data. Journal of Systems Science and Systems Engineering. 2001, 10(4):450-456.

[33] 韩明. 数据挖掘及其对统计学的挑战. 统计研究, 2001, 8:55-57.

[34] 韩明. Bayes可靠性增长模型先验参数的确定. 系统工程与电子技术，2000，22(4):88-90.

[35] 韩明. 某型发动机无失效数据的Bayes可靠性分析. 航空学报, 1999, 20 (3): 216-219.

[36] Ming Han, Yiqun Li. Hierarchical Bayesian estimation of the products reliability based on zero-failure data. Journal of Systems Science and Systems Engineering. 1999, 8(4): 467-471.

[37] 韩明.《系统工程理论与实践》论文作者服从Lotka分布的统计分析. 系统工程理论与实践, 1999, 6:141-143.

[38] 韩明, 丁元耀, 陈涛. 指数分布无失效数据的多层Bayes估计. 数理统计与管理，1998, 7 (2): 29-36.

[39] 韩明. Fisher判别模型与负点法在处理微量超差中的应用. 系统工程与电子技术，1997，19(5):73-76.

[40] 韩明. 二项分布可靠度的Bayes、多层Bayes估计. 数理统计与应用概率，1996, 11(3): 232-239.

以下是会议论文：

[41] Ming Han. The M-Bayesian lower credible limits of the system reliability. The 2015 International Conference on Applied Mechanics, Mechatronics and Intelligent Systems (AMMIS2015), 2015.

[42] Ming Han. A new two-parameter lifetime distribution and its estimations of parameters. International Conference on Applied Mathematics and Statistics Research (AMSR2014), 2014.

[43] Ming Han. Bayesian credible limits of the reliability and its applications. 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, 2013.

[44] Ming Han. The Hierarchical Bayesian estimation of failure probability and its applications. Proceedings of 5th Asia-Pacific International Symposium (APARM 2012) Advanced Reliability and Maintenance Modeling V Basis of Reliability Analyses, 2012.

[45] Ming Han. The one-sided M-Bayesian credible limits of reliability parameters and its applications. International Conference on Applied Mathematics and Information Management. 2010.

[46] Ming Han. The optimum method of prior parameters in survival analysis. The First International Symposium on Optimization and Systems Biology, 2007.

[47] Ming Han. E-Bayesian method to estimate failure rate. The Sixth International Symposium Operations Research and Its applications, 2006.

[48] Ming Han, Xiaohu Li. The modified Bayesian credible limit method to estimate reliability parameters. Proceedings of The Fourth International Conference on Quality and Reliability, 2005.

出版的专著：

[1] 韩明. 参数的E-Bayes估计法和M-Bayes可信限法及其应用，上海：上海交通大学出版社，2017.

[2] 韩明. 无失效数据可靠性参数估计的研究与应用，上海：上海交通大学出版社，2013.

[3] 韩明. 可靠性参数的修正Bayes估计法及其应用，上海：同济大学出版社，2010.

[4] 韩明. 无失效数据的可靠性分析，北京：中国统计出版社，1999.

教学经历：

1.主讲课程： 主讲研究生课程《贝叶斯统计》，《可靠性统计》，《统计计算》，《专题选讲》等；主讲统计类、数学类本科生课程《多元统计分析》，《应用贝叶斯统计》，《可靠性理论及其应用》，《数理统计》，《概率论》，《概率论与数理统计》等.

2.教学成果：《概率论与数理统计》教材建设，2014年度宁波工程学院教学成果二等奖.

出版的教材：

[1] 韩明. 应用多元统计分析——基于R的实验，2019，上海：同济大学出版社.

[2] 韩明(主编). 概率论与数理统计，第5版，2019，上海：同济大学出版社.

[3] 韩明(主编). 概率论与数理统计典型例题和习题解答，第2版，2021，上海：同济大学出版社.

[4] 韩明 等(5人合作，第1作者). 数学建模案例，第2版，2020，上海：同济大学出版社.

[5] 韩明. 概率论与数理统计教程，第2版，2018，上海：同济大学出版社.

[6] 韩明. 概率论与数理统计教程习题解答，2018，上海：同济大学出版社.

[7] 韩明 等(3人合作，第1作者).数学实验，第4版，2018，上海：同济大学出版社.

[8] 韩明. 应用多元计学分析，第2版，2017，上海：同济大学出版社.

[9] 韩明. 贝叶斯统计——基于R和BUGS的应用，2017，上海：同济大学出版社.

[10] 韩明. 多元计学分析：从数据到结论，2016，上海：上海财经大学出版社.

[11] 韩明. 概率论与数理统计，2016，上海：上海财经大学出版社.

[12] 韩明. 贝叶斯统计学及其应用，2015，上海：同济大学出版社.

育人经历：

指导本科生获得2020年度全国大学生市场调查与分析大赛浙江省二等奖1项.

指导本科生完成宁波工程学院科创项目1项，发表学术论文1篇.

荣誉获奖：

1999年度“浙江省跨世纪学术和技术带头人——浙江省151人才工程”（第二层次）；

1999，2001，2003年，3篇论文分别获“浙江省自然科学优秀论文二等奖”；

2005年度“福建省百千万人才工程”；

2006年福建师范大学兼职教授、“概率论与数理统计”方向硕士研究生导师；

2008，2010年，2篇论文分别获“福建省自然科学优秀论文二等奖”；

2009年中国运筹学会可靠性学会理事；

2010年黄冈师范学院兼职教授；

2013年宁波工程学院校级重点学科“应用统计”学科带头人；

2017年《概率论与数理统计》（主编，同济大学出版社），获得‘浙江省普通高校“十二五”优秀教材’.