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杨建峰,男,南开大学统计与数据科学学院教授,南开试验设计研究团队成员。2007年南开大学博士毕业,毕业后留校工作至今。曾访问美国威斯康辛大学麦迪逊分校统计系、美国加州大学洛杉矶分校统计系。主要研究方向为试验设计,具体包括因子试验、计算机试验、添加次序试验等的设计与建模,已在Science China-Mathematics、Biometrika、Statistica Sinica、Technometrics等SCI期刊发表高水平学术论文40余篇。已主持国家自然科学基金4项(青年基金1项,面上项目3项),荣获教育部自然科学二等奖一项,入选天津市“131”创新型人才培养工程第二层次人选。 作为主要完成人,获天津市教学成果奖特等奖、一等奖各一项。现任天津市现场统计研究会副理事长,中国现场统计研究会试验设计分会常务理事,中国数学会均匀设计分会常务 理事,全国工业统计学教学研究会理事,泛华统计协会永久会员,美国《数学评论》评论员。 |
30. Li, W.L.#, Liu, M.Q.# and Yang, J.F.#* (2021). Column-Orthogonal Nearly Strong Orthogonal Arrays. Journal of Statistical Planning and Inference, 215, 184-192.[FullText] [SCI]
29. Yang, J.F.#, Sun, F.S.# and Xu, H.Q.* (2021+). A component-position model, analysis and design for order-of-addition experiments. Technometrics, Published online.
28. Yang, X.#, Yang, J.F.#, Liu, M.Q.* and Zhou, Q. (2021+). Column-orthogonal designs with multi-dimensional stratification. Science China-Mathematics, Accepted on Jan. 21, 2020; Published online Feb. 25, 2020.
27. Zhou, W.P.#, Yang, J.F.# and Liu, M.Q.* (2020). Optimal maximin L2-distance Latin hypercube designs. Journal of Statistical Planning and Inference, 207, 113-122. [FullText] [SCI]
26. Han, X.X.#, Liu, M.Q.#*, Yang, J.F.# and Zhao, S.L.# (2020). Mixed 2- and 2r-level fractional factorial split-plot designs with clear effects. Journal of Statistical Planning and Inference, 204, 206-216. [FullText] [SCI]
25. Wang, Y.P.#, Yang, J.F.# and Xu, H.Q.* (2018). On connection between maximin distance designs and orthogonal designs. Biometrika, 105(2), 471-477. [FullText] [SCI]
24. Gao, Y.#, Qi, Z.F.#, Yang, J.F.*# and Yang, J.Y.# (2018). Algorithmic construction of nearly column-orthogonal designs. Communications in Statistics-Simulation and Computation, 47(3), 924-937. [FullText] [SCI,EI]
23. Zhang, T.F., Li, Z.M.*, Yang, J.F. and Zhang, R.C. (2017). Construction of some mixed two- and four-level regular designs with GMC criterion. Communications in Statistics-Theory and Methods, 46(17), 8497-8509. [FullText] [SCI,EI]
22. Qi, Z.F.#, Yang, J.F.#, Liu, Y.* and Liu M.Q. (2017). Construction of nearly uniform designs on irregular regions. Communications in Statistics-Theory and Methods, 46(17), 8318-8327. [FullText] [SCI,EI]
21. Qi, A.J.#, Qi, Z.F.#, Yang, J.F.*# and Zhang, Q.Z.# (2017). A three-stage variable selection method for supersaturated designs. Communications in Statistics-Simulation and Computation, 46(4), 2601-2610. [FullText] [SCI,EI]
20. Wang, X.L.#, Zhao, Y.N.#, Yang, J.F.* and Liu, M.Q. (2017). Construction of (nearly) orthogonal sliced Latin hypercube designs. Statistics & Probability Letters, 125, 174-180.[FullText] [SCI]
19. Zhang, T.F., Yang, J.F.*, Li, Z.M. and Zhang, R.C. (2017). Construction of regular 2n41 designs with general minimum lower-order confounding. Communications in Statistics-Theory and Methods, 46(6), 2724-2735. [FullText] [SCI,EI]
18. Yang, X., Yang, J.F.*, Lin, Dennis K.J. and Liu, M.Q. (2016). A new class of nested (nearly) orthogonal Latin hypercube designs. Statistica Sinica, 26, 1249-1267. [FullText] [SCI]
17. Huang, H.Z.#, Lin, Dennis K.J.#, Liu, M.Q.# and Yang, J.F.*# (2016). Computer experiments with both qualitative and quantitative variables. Technometrics, 58(4), 495-507[FullText] [Supp][SCI,EI]
16. Chen, X.P., Lin, J.G.*, Yang, J.F. and Wang, H.X. (2015). Construction of main-effect plans orthogonal through the block factor. Statistics & Probability Letters, 106, 58-64. [FullText] [SCI]
15. Lin, J.G.*, Chen, X.P., Yang, J.F., Huang, X.F. and Zhang, Y.S. (2015). Generalized variable resolution designs. Metrika, 78, 873-884. [FullText] [SCI]
14. Wang, L.#, Yang, J.F.#, Lin, Dennis K.J. and Liu, M.Q.* (2015). Nearly orthogonal Latin hypercube designs for many design columns. Statistica Sinica, 25(4), 1599-1612.[FullText] [SCI]
13. Huang, H.Z.#, Yang, J.F.# and Liu, M.Q.* (2014). Construction of sliced (nearly) orthogonal Latin hypercube designs. Journal of Complexity, 30(3), 355-365. [FullText] [SCI,EI]
12. Yang, J.F.*, Zhang, R.C. and Liu, M.Q. (2013). Construction of optimal blocking schemes for robust parameter designs. Acta Mathematica Scientia (Series B), 33(5), 1431-1438. [FullText] [SCI]
11. Gu, L. and Yang, J.F.* (2013). Construction of nearly orthogonal Latin hypercube designs. Metrika, 76(6), 819-830. [Matlab Code] [FullText] [SCI]
10. Wei, J.L. and Yang, J.F.* (2013). On simplifying the calculations leading to designs with general minimum lower-order confounding. Metrika, 76(5), 723-732.[FullText] [SCI]
09. Yang, J.F.*, Lin, C.D., Qian, P.Z.G. and Lin, D.K.J. (2013). Construction of sliced orthogonal Latin hypercube designs. Statistica Sinica, 23(3), 1117-1130. [FullText] [SCI]
08. Wei, J.L. and Yang, J.F.* (2012). A simple algorithm in GMC theory. 5th International Institute of Statistics and Management Engineering Symposium 2012: Data-Driven Mangement Science under Developing, IISMES 2012, p 464-467. [EI]
07. Zhang, T.F., Yang, J.F.* and Lin, Dennis K.J. (2011). Small Box-Behnken designs. Statistics & Probability Letters, 81, 1027-1033. [Supplemental Materials] [FullText] [SCI]
06. Liu, Y, Yang, J.F.* and Liu, M.Q. (2011). Isomorphism check in fractional factorial designs via letter interaction pattern matrix. Journal of Statistical Planning and Inference, 141, 3055-3062. [FullText] [SCI]
05. Yang, J.F., Sun, F.S., Lin, Dennis K.J. and Liu, M.Q.* (2010). A study on design uniformity under errors in the level values. Statistics & Probability Letters, 80, 1467-1471.[FullText] [SCI]
04. Wei, J.L., Yang, J.F., Li, P. and Zhang, R.C.* (2010). Split-plot designs with general minimum lower-order confounding. Science China-Mathematics, 53(4), 939-952.[FullText] [SCI]
03. Yang, J.F., Liu, M.Q.* and Zhang, R.C. (2009). Some results on fractional factorial split-plot designs with multi-level factors. Communications in Statistics-Theory and Methods, 38, 3623–3633. [FullText] [SCI]
02. Yang, J.F., Zhang, R.C.* and Liu, M.Q. (2007). Construction of fractional factorial split-plot designs with weak minimum aberration. Statistics & Probability Letters, 77, 1567-1573. [FullText] [SCI]
01. Yang, J.F., Li, P.F., Liu, M.Q.* and Zhang, R.C. (2006). 2(n1+n2)-(k1+k2) Fractional factorial split-plot designs containing clear effects. Journal of Statistical Planning and Inference, 136, 4450-4458. [FullText] [SCI]
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