段凤君，女，汉族，副教授，硕士生导师

电子邮箱:fengjunduan@sina.cn

教育经历

2013.09-2018.06  东南大学数学学院统计学专业理学博士

2009.09-2013.06  安徽师范大学数学与统计学院统计学专业理学学士

感兴趣的方向

可靠性统计、退化数据分析、退化试验设计、机器学习

教学课程

本科生：统计学、概率论与数理统计、统计分析软件、经济数学专题研究、经济学综合实验

研究生：数据分析与经济决策

获奖情况

2022年  江苏省普通高校本科优秀毕业论文二等奖

2020年  江苏省高校微课教学比赛三等奖

2023年  正大杯第十三届全国大学生市场调查与分析大赛江苏省赛区本科组三等奖指导教师

2025年  第十一届全国大学生统计建模大赛江苏省赛区本科组一等奖指导教师

2021年  南京财经大学教学公开赛三等奖

2024年  南京财经大学本科生优秀毕业论文指导教师

科研项目

主持国家自然科学基金青年项目一项

主持江苏省自然科学基金青年项目一项

科研论文

[1]Duan F J, Wang G J. Bayesian analysis for the transformed exponential dispersion process with random effects[J]. Reliability Engineering & System Safety, 2022, 217, Article ID: 108104.

[2]Duan F J, Wang G J. Exponential-dispersion degradation process models with random effects and covariates[J]. IEEE Transactions on Reliability, 2018, 67(3): 1128–1142.

[3]Duan F J, Wang G J. Planning of step-stress accelerated degradation test based on nonstationary gamma process with random effects[J]. Computers & Industrial Engineering, 2018, 125: 467–479.

[4]Duan F J, Wang G J. Generalized exponential-dispersion process model for degradation analysis under nonlinear condition[J]. Quality and Reliability Engineering International, 2022, 38(2):957–970.

[5]Duan F J, Wang G J. Optimal step-stress accelerated degradation test plans for inverse Gaussian process based on proportional degradation rate model[J]. Journal of Statistical Computation and Simulation, 2018, 88(2): 305–328.

[6]Duan F J, Wang G J, Wei W M, Jiang M Y. Remaining useful life evaluation for accelerated Wiener degradation process model with mixed random effects and measurement errors[J]. Quality and Reliability Engineering International 2023,39(4):1334-1351.

[7]Duan F J, Wang G J. Planning of step-stress accelerated degradation test based on nonlinear exponential-dispersion process under cost constraints[J]. Journal of Statistical Computation and Simulation, 2025, Online.

[8]Duan F J, Wang G J, Wang H. Inverse Gaussian process models for bivariate degradation analysis: A Bayesian perspective[J]. Communications in Statistics-Simulation and Computation, 2018, 47(1): 166–186.

[9]Duan F J, Wang G J. Optimal design for constant-stress accelerated degradation test based on gamma process[J]. Communication in Statistics-Theory and Methods, 2019, 48(9): 2229–2253.

[10] Wang G J,Duan F J, Zhou Y F. Reliability evaluation of multi-state series systems with performance sharing[J]. Reliability Engineering & System Safety, 2018, 173: 58–63.

[11] Wang H, Wang G J,Duan F J. Planning of step-stress accelerated degradation test based on the inverse Gaussian process[J]. Reliability Engineering & System Safety, 2016, 154: 97–105.

[12] Wang G J, Liu P,Duan F J, Xia K Y. Reliability analysis for systems working in dynamic environment with dependent competing failure processes[J]. Quality and Reliability Engineering International, 2025, Online.

[13] Su P, Wang G J,Duan F J. Reliability evaluation of a k-out-of-n(G)-subsystem based multi-state system with common bus performance sharing[J]. Reliability Engineering & System Safety, 2020, 198, Article ID: 106884.

[14] Su P, Wang G J,Duan F J. Reliability analysis for k-out-of-(n+1): G star configuration multi-state systems with performance sharing[J]. Computers & Industrial Engineering, 2021, 152, Article ID: 106991.

[15] Bian L N, Wang G J,Duan F J. Reliability analysis for systems subject to mutually dependent degradation and shock processes[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2021, 235(6): 1009–1025.

[16] Bian L N, Wang G J, Liu P,Duan F J. Two shock models for single-component systems subject to mutually dependent failure processes[J]. Quality and Reliability Engineering International, 2022, 38: 635–658.

[17] Gu L D, Wang G J, Zhang S Y,Duan F J, Wu, F. Reliability modeling for two-phase degradation products based on the inverse Gaussian process[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2025, Online.

[18] Gu L D, Wang G J, Zhou Y F,Duan F J. Reliability analysis of ring-structured multistate systems with performance sharing mechanism between adjacent units[J]. IEEE Transactions on Reliability,2026,75:233-246.