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李新民
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李新民,男,博士,青岛大学教授,现任数学与统计学院副院长,青岛大学统计与数据分析研究中心主任。2004年7月毕业于中国科学院数学与系统科学研究院系统科学研究所概率论与数理统计专业,获理学博士学位。主要学术研究领域:Fiducial推断、计算机试验、模型平均、生物统计、金融统计、数据分析等。教学工作主要承担《概率论》、《数理统计》、《非参数统计》等本科生课程,同时承担《高等数理统计》等研究生学位课的教学工作。



工作经历:

2012年1月-至今,青岛大学数学与统计学院,教授

2009年1月-2010年2月,美国罗切斯特大学(University of Rochester)作访问学者

2004年7月-2012年1月,山东理工大学,讲师,副教授,教授

1998年7月-2001年9月,青岛大学数学系,讲师


学术兼职:

全国工业统计教学研究会理事

中国现场统计研究会试验设计分会常务理事

中国现场统计研究会大数据分会常务理事

中国现场统计研究会资源与环境分会常务理事

中国数学会均匀设计分会委员

山东省应用统计学会常务理事

美国数学会《Mathematical Reviews》评论员


主要科研项目:

国家自然科学基金面上项目:计算机试验的若干统计推断及相关问题研究(No.11871294), 2019/01-2022/12, 主持

山东省自然科学基金面上项目:复杂数据中若干假设检验问题的Fiducial推断(No. ZR2014AM019), 2014/12-2017/12, 主持

山东省自然科学基金面上项目:小样本多总体比较的Fiducial推断(No.ZR2010AM008), 2010/11-2013/11, 主持

国家自然科学基金面上项目:两类复杂数据情形下的Fiducial推断(No.10771126), 2008/01-2010/12,主持

航空科学基金:融合虚拟试验和物理试验信息的遗传算法研究(No.20070282001), 2007年10月- 2009年10月,主持

教育部留学回国基金:多参数比较的Fiducial推断(第45批),主持

 

代表性论文(选摘):

[28]Kun Cao, Xinmin Li, Yali Zhou, Chenchen Zou. On improvability of model averaging by penalized model selection, Stat, 2023, 12(1): e529.

[27]Xiao Wang, Xinmin Li,Lin Zhang, Zhirun Liu, Min Li. Fiducial inference on gamma distributions: two-sample problems with multiple detection limits. Environmental and Ecological Statistics, 2022, 29(3): 453–475.

[26]Xinmin Li, Feifei Chen, Hua Liang, David Ruppert. Model Checking for Logistic Models When the Number of Parameters Tends to Infinity, Journal of Computational and Graphical Statistics, 2022, DOI:10.1080/10618600.2022.2084403.

[25]Qi Zhang, Jing Xu, Jianxin Zhao, Hua Liang, Xinmin Li.Simultaneous confidence intervals for ratios of means of zero-inflated log-normal populations, Journal of Statistical Computation and Simulation, 2022, 92(6): 1113-1132

[24]Xiao Wang, Min Li, Weina Sun, Zhengguo, Xinmin Li. Confidence intervals for zero-inflated gamma distribution.Communications in Statistics-Simulation and Computation, 2022, Doi: 10.1080/03610918.2022.2104315.

[23]Shunyao Wu, Xinmin Li, Xia Yu, Hua Liang. A novel model-checking approach for dose-response relationships. Statistical Methods in Medical Research, 2021, 30(9): 2119-2129.

[22]Xinmin Li,Guohua Zhou, Xinyu Zhang, Shangwei Zhao. Least squares model averaging based on generalized cross validation. Acta Mathematicae Applicatae Sinica, English Series, 2021, 37(3): 495-509.

[21]Weiwei Wang, Qi Zhang, Xinyu Zhang, Xinmin Li. Model averaging based on generalized method of moments. Economics Letters, 2021, 200: 10973.

[20]Xinmin Li,Xiao Wang, Shifeng Xiong. A sequential design strategy for integrating low-accuracy and high-accuracy computer experiments. Communications in Statistics-Simulation and Computation, 2021, DOI: 10.1080/03610918.2020.1870692.

[19]Xiao Wang, Chenchen Zou, Li Yi,Juan Wang, Xinmin Li. Fiducial inference for gamma distributions: two-sample problems. Communications in Statistics-Simulation and Computation, 2021, 50(3):811-821.

[18]Hailin Huang, Jizi Shangguan, Xinmin Li, Hua Liang. High-dimensional single-index models with censored responses. Statistics in Medicine, 2020, 39:2743-2754.

[17]Jiyuan Hu, Wei Zhang, Xinmin Li, Dongdong Pan, Qizhai Li. Efficient estimation of disease odds ratios for follow-up genetic association studies, Statistical Methods in Medical Research, 2019, 28(7):1927-1941.

[16]Xinmin Li, Haiyan Su, Hua Liang. Fiducial generalized p-values for testing zero-variance components in linear mixed-effects models,Science China Mathematics, 2018, 61(7):1303-1318.

[15]Jing Xu, Xinmin Li. A fiducial p-value approach for comparing heteroscedastic regression models, Communication in Statistics-Simulation and Computation, 2018,47(2):420-431.

[14]Xinmin Li,Xiaohua Zhou,Lili Tian. Interval estimation for the mean of lognormal data with excess zeros, Statistics & Probability Letters, 2013, 83 (11):2447-2453.

[13]Xinmin Li, Lili Tian, Juan Wang, Josephia R. Muindi. Comparison of Quantiles for Several Normal Populations, Computational Statistics and Data Analysis, 2012,56(6): 2129-2138.

[12]Lili Tian, Xinmin Li, Yan Li. Testing equality of generalized treatment effects. Journal of Biopharmaceutical Statistics, 2012, 22(3): 583-595.

[11]Xinmin Li, Juan Wang, Hua Liang. Comparison of several means: A fiducial based approach, Computational Statistics and Data Analysis, 2011, 55(5):1993-2002.

[10]Xinmin Li, Juan Wang. A simple method for testing variance components in unbalanced nested model, Communication in Statistics-Simulation and Computation, 2011, 40(9):1310 -1323.

[9]Xinmin Li. A generalized p-value approach for comparing the means of several log-normal populations, Statistics and Probability Letters, 2009, 79(11): 1404-1408.

[8]Xinmin Li. Confidence intervals for linear function of variance components in two-fold nested random effects model, Communication in Statistics-Theory and Methods, 2008, 37(2):204–212.

[7]Xinmin Li, Guoying Li. Comparison of confidence intervals on the among group variance in the unbalanced variance component model, Journal of Statistical Computation and Simulation, 2007, 77(5):477-486.

[6]Xinmin Li. Comparison of confidence intervals on between group variance in unbalanced heteroscedastic one-way random models, Communication in Statistics-Simulation and Computation, 2007, 36(2):381-390.

[5]Xinmin Li,Zhaowei Meng. Confidence intervals on sum of variance components in unbalanced two-fold nested designs with equal subsampling, Communication in Statistics-Theory and Methods, 2007, 36(2):387-397.

[4]Xinmin Li, Xingzhong Xu, Guoying Li. A fiducial argument for generalized p value, Sciences in China (Ser. A Mathematics), 2007, 50(7):957-966.

[3]Xinmin Li. Comparison of one-sided tolerance limits in the unbalanced one-way random models, Communication in Statistics-Simulation and Computation, 2006, 35(2):321-329.

[2]Xinmin Li,Guoying Li. Confidence intervals on sum of variance components with unbalanced designs, Communication in Statistics-Theory and Methods, 2005, 34: 833-845.

[1]Xinmin Li,Guoying Li, Xingzhong Xu. Fiducial intervals of restricted parameters and their applications, Sciences in China (Ser. A: Mathematics), 2005, 48: 1567-1583.



联系方式:

办公地点:青岛大学中心校区励行楼

Email:xmli at qdu.edu.cn

 




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