一、个人简介
方龙祥,三级教授,博士生导师。2014年博士毕业于复旦大学(导师:张新生),2015年1月至2015年7月在加拿大McMaster University 访学(导师:Professor N.Balakrishnan)。目前主要从事数理统计、应用统计、可靠性统计等统计理论及应用方面研究。E-mail:lxfang@fudan.edu.cn。
二、获奖
安徽省教学成果奖一等奖(1/7,2017)
安徽省研究生教学成果奖二等奖(1/7,2019)
安徽省教学成果奖一等奖(7/7,2016)
安徽师范大学教学优秀奖(2015)
指导全国应用统计专业学位研究生案例大赛国家二等奖1项(2022)
指导全国应用统计专业学位研究生案例大赛获得国家三等奖1项(2023)
指导全国大学生数学建模竞赛国家二等奖1项(2022)
指导全国大学生市场调查与分析大赛国家三等奖1项(2022)
三、教学研究
第三批国家一流线下课程《概率论与数理统计》(2/5,2025)
新形态教材建设:《概率论与数理统计》数字教材(2026)
安徽省高等学校省级质量工程项目:人工智能背景下统计学专业改造提升项目(2024zygzts018)
教材:概率论与数理统计,主编:郭明乐 方龙祥 祝东进,出版社:上海交通大学出版社,ISBN:978-7-313-27961-3,出版时间:2022年11月
安徽省高等学校省级质量工程项目:统计学专业实验教学创新团队(2022cxtd052)
安徽省高等学校省级质量工程教育教学研究重点项目: 统计学专业实践教学体系的优化调整研究 ——实验课程群的构建探索(2020jyxm0682)
校级本科课程考核改革试点项目:统计分析软件实验课程考核方式改革(2014)
校级研究生教育教学改革研究项目:统计学学科高等数理统计课程建设(2014yjg019)
四、主持科研项目
安徽省哲学社会科学规划项目,AHSKF2021D30, 2021/11-2024/11
安徽省自然科学基金面上项目,1808085MA03, 2018/06-2021/06
安徽省科技创新战略与软科学研究专项项目,1706a02020010, 2018/01-2019/12
安徽省自然科学基金面上项目,1408085MA07, 2014/01-2017/01
安徽省高等学校自然科学研究重点项目,KJ2013A137,2013/01-2015/12
安徽省高等学校自然科学研究重点项目,KJ2016A263,2016/01-2017/12
全国统计科学研究计划项目,2012LY158,2012/11-2014/11
安徽省高等学校自然科学研究一般项目,KJ2010B347,2010/01-2011/06
安徽师范大学博士科研启动基金项目,2014bsqdjj034,2014/11-2015/11
五、科研论文
[1]Fang Longxiang, Ruan Yu, N. Balakrishnan, Stochastic comparisons of two-series–parallel systems with independent components randomly chosen from two batches, Statistics & Probability Letters, 229 (2026): 110576
[2]Fang Longxiang, Ruan Yu, N. Balakrishnan, Redundancy in two-series-parallel and two-parallel-series systems with independent components randomly chosen from two batches, Methodology and Computing in Applied Probability, 27 (2025): 97
[3]Fang Longxiang, Zhang Shuai, Lu Jinling, On reliability analysis in k-out-of-n systems under Archimedean copula dependence, Communications in Statistics - Theory and Methods, 53(2024):365-377
[4]Fang Longxiang, Zheng Qi, Ding Ying, Stochastic comparisons of the largest and smallest claim amounts with heterogeneous survival exponentiated location-scale distributed claim severities, Communications in Statistics - Theory and Methods, 53(2024):7541-7559
[5]Fang Longxiang, N. Balakrishnan, Wenyu Huang, Zhang Shuai, Usual stochastic ordering of the sample maxima from dependent distribution-free random variables, Statistica Neerlandica, 77(2023): 99-112
[6]Fang Longxiang, Lu Jinling, Zhang Shuai, Stochastic comparisons of the smallest and largest claim amounts with scale proportional hazard claim severities, Frontiers of Mathematics, 18(2023): 1459-1478
[7]Fang Longxiang, N. Balakrishnan, Wenyu Huang, Stochastic comparisons of parallel systems with scale proportional hazards components equipped with starting devices, Journal of Industrial and Management Optimization, 18(2022): 969-984
[8]Fang Longxiang, Zhang Xinsheng, Jin Qing, Optimal grouping of heterogeneous components in series and parallel systems under Archimedean copula dependence, Journal of Systems Science & Complexity, 35(2022):1030-1051
[9]Fang Longxiang, Zhang Shuai, Lu Jinling, N. Balakrishnan, Orderings of extremes from dependent Gaussian variables with Archimedean copula under simple tree order restrictions, Statistics, 56(2022): 134-146
[10]方龙祥, N. Balakrishnan, 黄文玉, Archimedean copula刻画的尺度比例失效率模型的极小次序统计量的随机序. 数学物理学报, 42(2022):621-630
[11]Fang Longxiang, N. Balakrishnan, Jin Qing, Optimal grouping of heterogeneous components in series-parallel and parallel-series systems under Archimedean copula dependence, Journal of Computational and Applied Mathematics, 377(2020): 112916
[12]Fang Longxiang, Cheng Meifang, Cao Daoxiang, Ding Ying, Ordering properties of largest order statistics from independent and heterogeneous Dagum populations, Communications in Statistics - Theory and Methods, 49(2020):1768-1779
[13]Fang Longxiang, Huang Wenyu, Inequalities for Gaussian random variables under Archimedean copula dependence, Metrika, 83(2020):617-625
[14]Fang Longxiang, Zhu Xiaojun, Discussion of Birnbaum-Saunders distribution: a review of models, analysis and applications, Applied Stochastic Models in Business and Industry, 35(2019): 72-76
[15]Fang Longxiang, Xu Tingtao, Ordering results of the smallest and largest order statistics from independent heterogeneous exponentiated gamma random variables, Statistica Neerlandica, 73(2019):197-210
[16]Fang Longxiang, N. Balakrishnan, Ordering properties of the smallest order statistics from generalized Birnbaum–Saunders models with associated random shocks, Metrika, 81(2018): 19-35
[17]Fang Longxiang, Zhu Xiaojun, N. Balakrishnan, Stochastic ordering of minima and maxima from heterogeneous bivariate Birnbaum–Saunders random vectors, Statistics, 52 (2018):147-155
[18]Fang Longxiang, Wang Yanqin, Comparing Lifetimes of Series and Parallel Systems with Heterogeneous Fréchet Components, Symmetry, 9(2017):1-10
[19]Fang Longxiang, N. Balakrishnan, Stochastic comparisons of series and parallel systems with generalized linear failure rate components, Applied Stochastic Models in Business and Industry, 33 (2017): 248-255
[20]Fang Longxiang, Ling Jie, N. Balakrishnan, Stochastic comparisons of series and parallel systems with independent heterogeneous lower-truncated Weibull components, Communications in Statistics - Theory and Methods, 45(2016):540-551
[21]Fang Longxiang, Zhu Xiaojun, N. Balakrishnan, Stochastic comparisons of parallel and series systems with heterogeneous Birnbaum-Saunders components, Statistics & Probability Letters, 112 (2016): 131-136
[22]Fang Longxiang, N. Balakrishnan, Likelihood ratio order of parallel systems with heterogeneous Weibull components, Metrika, 79(2016): 693-703
[23]Fang Longxiang, N. Balakrishnan, Ordering results for the smallest and largest order statistics from independent heterogeneous exponential-Weibull random variables, Statistics, 50 ( 2016): 1195-1205
[24]Fang Longxiang, Barmalzan Ghobad, Ling Jie, Dispersive order of lifetimes of series systems in multiple-outlier Weibull models, Journal of Systems Science and Complexity, 29 ( 2016): 1693-1702
[25]方龙祥, 唐维, Fisher-Z 分布次序统计量的普通多元随机序. 数学杂志, 57(2016): 395-408
[26]Fang Longxiang, Zhang Xinsheng, Stochastic comparisons of parallel systems with Exponentiated Weibull components, Statistics & Probability Letters, 97 (2015): 25-31
[27]Fang Longxiang, Yang Fang, Usual multivariate stochastic order on the proportional reversed hazard rates model, 应用概率统计, 31(2015):539-546
[28]方龙祥, 张新生,
-stable运动驱动的OU 过程的拟似然估计. 数学学报, 57(2014): 395-408
[29]Fang Longxiang, Zhang Xinsheng, Stochastic comparisons of series systems with heterogeneous Weibull components, Statistics & Probability Letters, 83 (2013): 1649-1653
[30]Fang Longxiang, Zhang Xinsheng, New results on stochastic comparison of order statistics from heterogeneous Weibull populations, Journal of the Korean Statistical Society, 41 (2012) :13-16
[31]Fang Longxiang, Zhang Xinsheng, Slepian's inequality with respect to majorization, Linear Algebra and its Applications, 434(2011) :1107-1118