一、基本情况
徐锋，男，博士，副教授，硕士生导师。研究工作主要涉及统计过程控制、质量管理、极限理论。主持广西自然科学基金1项。在《Technometrics》、《Computers & Industrial Engineering》、《数理统计与管理》等国内外期刊发表论文20余篇。主要承担《属性数据分析》、《统计模型》、《R语言程序设计》、《质量控制》等本科生和研究生课程。
联系地址：广西桂林市雁山区雁山街319号，桂林理工大学理学院（邮编：541006）
电子邮箱：xufeng34@163.com
二、学习工作经历
2023.11-至今 桂林理工大学，9778818威尼斯, 副教授
2022.12-2023.11 桂林理工大学，理学院, 副教授
2020.07-2022.12 桂林理工大学，理学院, 讲师
2017.09-2020.06 暨南大学，统计学专业，经济学博士
2013.09-2016.06 桂林理工大学，统计学专业，理学硕士
2009.09-2013.06 枣庄学院，统计学专业，理学学士
三、主持的科研项目
广西自然科学基金委员会, 青年科学基金项目, 2021GXNSFBA220013, 复杂数据的过程诊断方法研究及评价系统构建, 2021-12 至 2024-11, 主持.
桂林理工大学博士启动基金(GUTQDJJ2020119)：复杂数据的统计过程监控与诊断方法研究, 2020.09-2023.08, 主持.
四、部分发表论文
1.Zhen Zeng, Feng Xu*. Huber-Dutter estimation of linear models with dependent errors, Communications in Statistics - Theory and Methods, 2023+. DOI: 10.1080/03610926.2023.2290980
2.Xu Feng, Deng Xiaoqin. Joint diagnosis of process mean vector and covariance matrix for multivariate statistical process control[J]. Computers & Industrial Engineering, 2023, 179: 109222.
3.Xu Feng, Shu Lianjie*, Li Yanting, Wang Binhui. Joint Diagnosis of High-dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection[J]. Technometrics, 2023.
4.徐锋, 王斌会, 颜斌. ARMA型过程能力指数的统计推断方法研究[J]. 数理统计与管理, 2023.
5.Xu Feng, Li Xiongying. The effect of autocorrelation on the diagnostic procedures[J]. Communications in Statistics-Theory and Methods. 2023, 52(10): 3333-3349.
6.Xu Feng. A Bayesian Approach to Diagnosing General Linear Profiles[C]. In 2023 The 6th International Conference on Computers in Management and Business (ICCMB) (ICCMB 2023), January 13–15, 2023, Macau, China. ACM, New York, NY, USA.
7.徐锋, 王斌会, 颜斌. 面向未知自相关过程能力指数的 Bootstrap 区间估计[J]. 统计与决策, 2022, 5:17-22.
8.Xu Feng, Zeng Zhen. An Improved Result in Almost Sure Local Central Limit Theorem for the Partial Sums[J]. Proceedings of the Indian Academy of Sciences-Mathematical Sciences, 2022, 132:14.
9.Xu Feng, Wang Binhui, Hou Yawen. Almost Sure Local Central Limit Theorem for the Product of Some Partial Sums with Optimized Weight[J]. Communications in Statistics – Theory and Methods, 2021, 50(13): 3051-3062.
10.Wang Binhui, Xu Feng*, Shu Lianjie. A Bayesian Approach to Diagnosing Covariance Matrix Shifts[J]. Quality and Reliability Engineering International, 2020, 36:736–752.
11.Xu Feng, Wang Binhui, Hou Yawen. Almost Sure Local Central Limit Theorem for the Product of Some Partial Sums of Negatively Associated Sequences[J]. Journal of Inequalities and Applications, 2019, 2019: 309.
12.Xu Feng, Wu Qunying. Almost sure central limit theorem for self-normalized partial sums of ρ--mixing sequences[J]. Statistics & Probability Letters, 2017, 129: 17-27. link
