姓名：张久军
职称：教授，统计与数据科学系主任
研究方向：统计过程控制
开设课程：高等数理统计、概率论与数理统计、随机过程
电子邮箱：zjjly790816@163.com
个人简历
教育及工作经历：
2005-07至2007-11, 辽宁大学, 数学院, 助教
2007-11至2010-11, 辽宁大学, 数学院, 讲师
2010-11至2017-11, 辽宁大学, 数学院, 副教授
2017-11至今, 辽宁大学, 数学院, 教授，博士生导师
主要成果：
1. 科研项目：
（1） 国家自然科学基金青年科学基金项目，11101198，基于Shiryaev -Roberts过程的相关控制图研究, 2012/01-2014/12.
（2） 辽宁省自然科学基金项目-面上项目，项目编号：2020-MS-139，参数估计与测量误差对函数型数据控制图的影响研究，2020.05-2022.05.
（3） 辽宁省“百千万人才工程”资助项目，复杂数据的在线监测与诊断， 2019.05-2021.05
（4） 辽宁省自然基金指导计划，项目编号2019ZD-0193：复杂数据下某些问题的在线监测与诊断,2019.10-2022.09.
（5） 辽宁大学博士科研启动基金项目，关于公共卫生监测控制图的研究与应用.2012/06- 2015/07.
（6） 2019年度辽宁大学课程思政建设工程重点培育示范课程
（7） 辽宁大学本科教学与改革工作, 项目编号 LNDXJG20182020
（8） 国家自然科学基金面上项目，12271231，复杂数据驱动的整值时间序列建模方法研究.2023/01-2026/12，参与
（9） 国家自然科学基金青年科学基金项目，11301364，复杂医疗保健数据的统计推断和过程控制，2014/01-2016/12，参与
（10）国家自然科学基金面上项目，10771107，统计过程控制图的设计理论及其应用，2008/01-2010/12，参与
2. 代表性论文：
2026
[69] Lian S., Amitava M., Liu B, Zhang J*.(2026) Some elaborate comparisons of several distribution-free schemes in short production runs and some new results
[J] Qual. Technol. Quant. M. 23(2), 266–302, SCI 2区
[70] Sun F, Jiang R, Li J, Song Z, Yu D, Zhang J*. (2026) Two monitoring schemes for the Pareto distribution with known and unknown parameters. [J] Comput. & Ind. Eng 215,111918, SCI 2区
[71] 杨薇, 张久军*. (2026)监控两个相关的泊松变量比率的控制图设计.[J] 《数理统计与管理》
[72] 陈秋含，张久军*. (2026)同时检测Beta分布双参数的EWMA控制图. [J] 《数理统计与管理》
2025
[57] Jiang R., Yu Z., Zhang J*(2025) EWMA scheme based on likelihood ratio test for monitoring Maxwell distribution with type-II right censored data. [J] J Stat Comput Sim. 95(5) ,1033-105, SCI 4区
[58] Chen P, Zhang J*（2025）Copula-based multivariate control charts for monitoring multiple dependent Weibull processes. [J] Commun. Stat.-Simul. C. SCI 4区
[59] Chen P, Amitava M, Yang W, Zhang J* (2025) Some New and Simple Real-time Monitoring Schemes for Gumbels Bivariate Exponential Time between the Events. [J] Comput. & Ind. Eng, 200, 110759 , SCI 2区
[60] Cai H, Amitava M, Zhang J* Bayesian generalized likelihood ratio chart for Gaussian process variance with an application to monitoring hard-bake processes. [J] Commun. Stat.-Theor. M.. 54(9), 2773-2790 SCI 4区
[61] Chen P, He C, Hu X, Yu D, Zhang J*. (2025) A comparison of MEWMA and MCUSUM control charts for monitoring bivariate weibull distribution [J] Commun.Stat. - Theor.M..
54(2307630–7650 ,SCI 4区
[62] Yu D., Amitava M., Jin L, Li J. Wen K, Zhang J*.(2025) Performance of the Shiryaev-Roberts-type Scheme in monitoring Weibull shape parameter based on Type II censored data. [J] Qual. Rel. Eng. Int 41(3) ,1002-1024,SCI 3区
[63] Jia Tong, Wang J, Zhang J* (2025) New control schemes for the Rayleigh distribution process based on the likelihood ratio test. [J] J Stat Comput Sim. 95(14), 3095-3115,SCI 4区
[64] Li H, Chen P., Ma R., * Zhang J* (2025) Performance Evaluation of Shiryaev-Roberts and Cumulative Sum Schemes for Monitoring Shape and Scale Parameters in Gamma-Distributed Data under Type I Censoring. [J] Axioms, 14, 713, SCI 3区
[65] Qin X., Zhang J., Amitava M., Liu L(2025). Comparisons of Some New and Existing EWMA Schemes for Binomial Count Processes with Applications to Monitoring Hospital No-Shows. [J] Qual. Technol. Quant. M, 22(5), 828-850, SCI 2区
[66] Sirui An, Jiujun Zhang *. Distribution-free EWMA scheme for joint monitoring of location and scale based on post-sales online review process. [J] Axioms, 14,719,SCI 3区
[67] Fu L, Ma F., Wang D., Zhang J (2025) An algorithm for computing generalized D-optimal allocation with cost consideration in regression models.[J]Commun.Stat.-Simul.C. 54(2), 319-330, SCI 4区.
[68] Yang W., Ji X., Cai H., Zhang J* (2025)Cumulative Sum Schemes for Monitoring the Ratio of Two Correlated Normal Variables in Short Production Runs with Fixed and Variable Sampling Interval Strategies: Application in Wheat Seed Processing. [J]Mathematics, 13, 657,SCI 3区
2024
[46] Jin L. Amitava M. Zhang J.*(2024) Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables.[J]J. Appl. Stat. 51(12) 2298-2325, SCI 4区
[47] Chen P., Song Z, Hu X., Zhang J*(2024) Phase II control chart for monitoring Gumbel’s Bivariate Exponential distribution [J]Comput. & Ind. Eng,192,110216, SCI 1区
[48] Tan Y, Amitava M, Sun F., Zhang J*(2024) Two Bayesian approaches of monitoring mean of Gaussian process using Bayes factor. [J]Qual. Rel. Eng. Int,40:3320–3339,SCI 3区
[49] Yang W, Ji X, Zhang J*(2024). The measurement errors and their effects on the cumulative sum schemes for monitoring the ratio of two correlated normal variables. Axioms ,13,393,SCI 3区
[50] Peile Chen, Chuan He, Bing Liu & Zhang J*(2024) Multivariate Time Between Events Control Charts for Gumbel's Bivariate Exponential Distribution with Estimated Parameters.[J]J Stat Comput Sim. 94(16), 3599-3632,SCI 4区
[51] Zhang Yi, Cai H, Zhang J*(2024). Weighted Likelihood Ratio-based EWMA Schemes for Monitoring Geometric Distributions .[J]Axioms, 13(6), 392, SCI 3区
[52] Hu X, Zhao Y, Sun G, Zhang J, Jiang* C, Huang X (2024). Evaluation of different DEWMA schemes for monitoring the ratio of two normal random variables. [J]J. Comput .Appl. Math. 449, 115994, SCI 2区
[53] Hu X, Xia F, Zhang J, Song Z (2024). Combined Shewhart–EWMA and Shewhart–CUSUM monitoring schemes for time between events. [J]Qual. Rel. Eng. Int 40（6），3352-3380, SCI 3区
[54] Jiang R., Zhang J., Yu Z. (2024) Adaptive EWMA control chart for monitoring two-parameter exponential distribution with type-II right censored data.[J] J Stat Comput Sim. 94(4), SCI 4区
[55] 于卓熙，刘海芸，张久军. 统计学学术型硕士研究生培养现状分析 《沈阳师范大学学报(自然科学版)》，2024，43（3），267-172.
[56] 祝志川,高妍,张久军,王德辉. 大数据视域下应用统计专业硕士培养现状调查与分析.长春教育学院学报，2024，1：58-65.
2023
[43] 么彩莲，李忠华，周茂袁，张久军（2023）参数估计对检测简单线性曲线控制
图的性能影响分析. 《数理统计与管理》42(1),1-13 CSSCI
[44] Yu D., Jin L., Li J., Qin X., Zhu Z., Zhang J. * Monitoring the Weibull scale parameter based on type I censored data using a modified EWMA control chart. Axioms,2023,12,487. SCI 3区
[45] 李璐璐,刘珊 ,张久军,于卓熙. 统计学专业教学改革研究现状与热点分析，鞍山师范学院学报，2023 -08 ,25 ( 4 ) :13 - 18
2022
[40] Li J, Yu D, Song Z, Amitava M., Chen R, Zhang J* (2022) Comparisons of some memory-type control chart for monitoring Weibull-distributed time between events and some new results. Qual. Rel. Eng. Int. 2022,38(7),3598-3615,SCI 3区
[41] Yu D., Amitava M., Jin L, Li J., Wen K, Zhang J* (2022) Performance of the Shiryaev-Roberts-type scheme in comparison to the CUSUM and EWMA schemes in
monitoring Weibull scale parameter based on Type I censored data Qual. Rel. Eng. Int
2022,38(7),3379-3403,SCI 3区
[42] Hu*X, Zhang, S, Zhang, Y ，Zhang J., Zhou P. Monitoring Coefficient of Variation Using Variable Sampling Interval Double Exponentially Weighted Moving Average Charts[J]. Scientia Iranica, 2022, SCI 3区
2021
[34] Song Z，Amitava M, Zhang, J*（2021）Some robust approaches based on copula for monitoring bivariate processes and component-wise assessment.[J] Eur J Oper Res, 289(1),177-196, SCI 2区
[35] Chen R, Jin,L., Li, Z., and Zhang, J*（2021）A progressive approach for monitoring the coefficient of variation . [J]Qual. Rel. Eng. Int. 37(6)，2587-2602, SCI 3区
[36] Li,Q, Song Z，Amitava M, Zhang, J* (2021) Phase-II monitoring of exponentially
distributed process based on type-II censored data for possible shift in location-scale.
[J]J Coput. Appl. Math. 389,113315, SCI 2区
[37] Song Z, Amitava M, Zhang, J*（2021）A class of new circular-grid charts for signal classification .[J]Qual. Rel. Eng. Int. 37(6),2738-2759, SCI 3区
[38] 李琦，张久军*（2021）检测尺度参数的非参数控制图. [J]《应用概率统计》 37 (3): 241-258.
[39] 刘双，何川，张世豪，张久军（2021）几种检测过程方差的HWMA控制图. ]统计与决策（19,30-33）CSSCI
2020
[28] 么彩莲，张久军*（2020）基于加权似然比检验的监控线性曲线的控制图. [J]《统计与决策》 6,35-38.（CSSCI）
[29] 宋琪，李琦，张久军*（2020）一种检测 Maxwell 尺度参数分布控制图. [J]《数理统计与管理》，39（3），487-494. （CSSCI）
[30] 宋琪，何川，张久军*（2020）测量误差对ELR控制图检测性能的影响分析. [J]《数理统计与管理》,39(4)，654-663.（CSSCI）
[31] Yao C., Li Z, Zhang J *(2020) A phase II control chart based on weighted likelihood
ratio test for monitoring polynomial profiles. [J] J Stat Comput Sim 90(4),676-698.
SCI 4区
[32] Song Z，Amitava M, Liu Y, Zhang, J*（2020）An efficient approach of designing
distribution-free exponentially weighted moving average schemes with dynamic fast initial response for joint monitoring of location and scale.
[J]J Stat Comput Sim. 90(13)，2329-2353. SCI 4区
[33] 刘双，何川，刘静，张久军*（2020）测量误差对方差控制图的性能影响分析. [J]《数理统计与管理》39(6)，990-999（CSSCI）
[34 ] 李栗，张久军，周楠.创新自主学习的研究与实践--以高校数学专业人才培养模式为例，[J]山海经《教育前沿》,2020（24）
2019
[25] Chen R, Li, Z., and Zhang, J*. (2019) A generally weighted moving average control chart for monitoring the coefficient of variation. [J] Appl. Math. Model. 70, 190–205,SCI 1区
[26] Song Z，Amitava M, Liu Y, Zhang, J*（2019）Optimizing joint location-scale monitoring – An adaptive distribution-free approach with minimal loss of information. [J] Eur J Oper Res, 274(3)，1019–1036 , SCI 2区
[27] 宋贽，何川，张久军* (2019)一种可用于检测过程尺度参数的非参数控制图. [J]《数理统计与管理》 (CSCD,CSSCI)38（4）652-660.
2018
[20] Zhang, J., Li, Z. and Wang, Z.(2018) Control chart for monitoring the coefficient of variation with an exponentially weighted moving average procedure. [J] Qual. Rel. Eng. Int. 34(2), 188- 202, SCI 3区
[21] Song, Z., Liu, Y., Li Z. and Zhang, J*（2018）A weighted likelihood ratio test-based chart for monitoring process mean and variability. [J] J Stat Comput Sim. 88(7), 1415–1436,SCI 3区
[22] Song, Z., Liu, Y., Li Z. and Zhang, J*（2018）A comparative study of memory-type control charts based on robust scale estimators. [J] Qual. Rel. Eng. Int.34(6),1079-1102, SCI 3区
[23] 张久军，张慧，杨瑞梅，何川，李忠华（2018）基于似然比检验的监控多项式曲线的
控制图. [J]《数理统计与管理》 ,37(2),289-297(CSCD,CSSCI)）
[24] 张久军，李琦，杨瑞梅，何川（2018）检测对数正态分布位置参数和尺度参数的控制图. [J]《数理统计与管理》 ,37(5),864-870(CSCD,CSSCI)）
2017
[17] Zhang, J., He, C., Li, Z. and Wang, Z. (2017) Likelihood ratio test-based chart for monitoring the process variability. [J]Commun. Stat. Simul.C (46), 704-728. SCI 4区
[18] 张久军，李二杰，杨瑞梅，刘双（2017，9）联合检测过程位置参数和尺度参数的非参数Cusum控制图. [J]《数理统计与管理》,36(5),833-842(CSCD,CSSCI)
[19] Zhang, J., Li, E. and Li, Z.(2017)A Cramer-vonmises test-based distribution -free control chart for joint monitoring of location and scale. [J]Comput. & Ind. Eng. 110, 484-497, SCI 2区
2016
[13] Zhang, J., Li, Z., Zhou, Q. and Wang, Z. (2016).An adaptive shiryaev–Roberts procedure for signalling varying location shifts. [J]Commun.Stat.-Simul.C. 45,2511–2527(SCI）SCI 4区
[14] 赵琪，张久军，姚成贵(2016) 大学数学文化课教学的实践与探索. [J]辽宁大学学报（自然科学版）,43(3),282-284.
[15] 刘帅，王婷婷，张久军*，赵琪(2016) 概率论与数理统计课程教学改革探索与实践. [J]辽宁大学学报（自然科学版）,43(3),285-288.
[16] 张久军，韩露 (2016) 基于Log-Linear模型的多元非参数控制图的一点思考. [J]辽宁大学学报（自然科学版）,43(2),97-103.
[17] 刘帅，王婷婷，周仁元，张久军，赵琪（2017）数学史融入高等数学教学的实践与探索 《当代教育实践与教学研究》,190-191.
2015
[12] 张久军，何川 (2015) 基于单个观测值用于检测多元协方差矩阵的EWMA控制图. [J]《数理统计与管理》,34(5),858-866.(CSCD，CSSCI) ）
2014
[11] Zhang, J., Li, Z., Chen, B. and Wang, Z. (2014)A new exponentially weighted moving
average control chart for monitoring the coefficient of variation. [J]Comput. & Ind. Eng. 78,
205-212, SCI 3区
2013
[10] Zhang, X. and Zhang, J* (2013) CUSUM procedures for monitoring process mean and
variability. [J] Commun.Stat.-Simul.C,(42),1455-1471, SCI 4区
2012
[9] Zhang, J., Li, Z. and Wang, Z. (2012). A new adaptive control chart for monitoring process
mean and variability. [J] Int. J. Adv. Manu. Tech. 60(9), 1031-1038, SCI 3区
2011
[7] Zhang, J., Zou, C. and Wang, Z. (2011) A new chart for detecting the process mean and variability. [J] Commun.Stat.-Simul.C. 40(5),728–743, SCI 4区
[8] Zhang, J., Zou, C. and Wang, Z. (2011) An adaptive shiryaev-roberts procedure for
monitoring dispersion. [J] Comput. & Ind. Eng. 61, 1166-1172, SCI 3区
2010
[3] 张久军，何川(2010) 一种可用于同时检测均值和方差的控制图. [J]《生物数学学报》25(3), 527-532.(CSCD)
[4] Li, Z., Zhang, J. and Wang, Z. (2010) Self-starting control chart for simultaneously monitoring process mean and variance. [J]Int. J. Prod. Res. 48(15),4537-4553, SCI 2区
[5] Zhang, J., Zou, C. and Wang, Z. (2010) A control chart based on likelihood ratio test for monitoring process mean and variability. [J]Qual. Rel. Eng.Int. 26(1), 63-73, SCI 3区
[6] Zhang, J., Li, Z. and Wang, Z. (2010) A multivariate control chart for simultaneously monitoring process mean and variability. [J]Comput. Statist. & Data Anal. 54(10),2244-2252 SCI 2区
2009
[2] Zhang, J., Li, Z. and Wang, Z. (2009) Control chart based on likelihood ratio for monitoring linear profiles. [J] Comput. Statist. & Data Anal. 53(4),1440-1448, SCI 2区
2008
[1] Guo, Y. and Zhang, J*.(2008) A New relative distance to analyze the similarities of Proteins. [J]《生物数学学报》23(3),423-428 (CSCD)
