基本情况

梅长林，博士学位。现任西安交通大学教授，博士生导师，西安交通大学数学与统计学院统计系系主任。主编教材4部，副主编教材2部。在国内外学术期刊发表论文52篇，其中被SCI收录26篇。

研究领域

非参数回归分析、空间数据分析、统计计算等

教育背景

2000年 博士，西安交通大学

1995年 硕士，比利时Limburgs Universitair Centrum 大学

1989年 硕士，西安交通大学

1983年 学士，西安交通大学

工作经历

2009年至2012年 教授，西安交通大学数学与统计学院

2008年至2009年 研究员，香港中文大学地理与环境资源管理系合作研究

2003年至2008年 教授，西安交通大学理学院

2000年至2001年 副教授，西安交通大学理学院

1998年至2000年 副教授，西安交通大学理学院

1997年至1998年 副研究员，香港中文大学环境研究中心合作研究

1995年至1997年 副教授，西安交通大学理学院

1989年至1994年 讲师，西安交通大学数学系

1983年至1986年 助教，陕西师范大学数学系

论文发表

1. Li Jin-Hai, Mei Chang-Lin, Lv Yue-Jin, Knowledge reduction in real decision formal contexts, Information Sciences, 2012, 189: 191-207. (SCI:891FE)
2. Li Jin-Hai, Mei Chang-Lin, Lv Yue-Jin, Knowledge reduction in formal decision contexts based on an order-preserving mapping, International Journal of General Systems, 2012, 41(2):143-161. (SCI:879FA)
3. Wei Chuan-Hua, Mei Chang-Lin, Empirical likelihood for partially linear varying coefficient models with missing response variables and error-prone covariates, Journal of the Korean Statistical Society, 2012, 41(1), 97-103. (SCI:898LU)
4. Zhang Hui-Guo, Mei Chang-Lin, SiZer inference for varying coefficient models, Communications in Statistics - Simulation and Computation, 2012, (accepted)
5. Li Ti-Zheng, Mei Chang-Lin, Testing a polynomial relationship of the nonparametric component in partially linear spatial autoregressive models, Papers in Regional Science, 2012, (accepted)
6. Li Jin-Hai, Mei Chang-Lin, Lv Yue-Jin, A heuristic knowledge-reduction method for decision formal contexts, Computers and Mathematics with Applications,2011, 61(4): 1096-1106. (SCI:727FP)
7. Li Jin-Hai, Mei Chang-Lin, Lv Yue-Jin, Knowledge reduction in decision formal contexts, Knowledge-Based Systems,2011(5), 24: 709-715. (SCI:770FW)
8. Zhang Hui-Guo, Mei Chang-Lin, Local least absolute deviation estimation of spatially varying coefficient models: robust geographically weighted regression approaches, International Journal of Geographical Information Science, 2011, 25(9):1467-1489. (SSCI, SCI:829XR)
9. Shen Si-Lian, Mei Chang-Lin, Zhang Ying-Jian, Spatially varying coefficient models: testing for spatial heteroscedasticity and reweighting estimation of the coefficients, Environment and Planning A, 2011, 43(7): 1723-1745. (SSCI:825DX)
10. Li Ti-Zheng, Mei Chang-Lin, Testing for linear regression relationships in randomly right-censored varying-coefficient models, Communications in Statistics—Simulation and Computation, 2010, 39(6): 1122 -1146. (SCI:594AA)
11. Shen Si-Lian, Mei Chang-Lin, Cui Jian-Ling, A fuzzy varying coefficient model and its estimation, Computers and Mathematics with Applications, 2010, 60(6): 1696-1705. (SCI:652CW)
12. Shen Silian, Mei Chang-Lin, Estimation of the variance function in heteroscedastic linear regression models. Communications in Statistics—Theory and Methods, 2009, 38(7): 1098-1112. (SCI:421FQ)
13. Zhang Hong-Ying, Zhang Wen-Xiu, Mei Chang-Lin, Entropy of interval-valued fuzzy sets based on distance and its relationship with similarity measure. Knowledge-Based Systems, 2009, 22(6): 449-454. (SCI:488IC)
14. Wang Ning, Mei Chang-Lin, Yan Xiao-Dong, Local linear estimation of spatially varying coefficient models: an improvement on the geographically weighted regression. Environment and Planning A, 2008, 40(4): 986-1005. (SSCI:300WB)
15. Zhou Yican, Shao Yiming, Ruan Yuhua, Xu Jianqing, Ma Zhien, Mei Chang-Lin, Wu Jianhong,Modeling and prediction of HIV in China: Transmission rates structured by infection ages. Mathematical Biosciences and Engineering, 2008, 5(2): 403-418. (SCI:279TQ)
16. Zhang Lei, Mei Chang-Lin, Testing heteroscedasticity in non- parametric regression models based on residual analysis. Applied Mathematics—A Journal of Chinese Universities, 2008, 23(3): 265-272. (SCI:382PP)
17. Zhang Chun-Xia, Mei Chang-Lin, Zhang Jiang-She, An empirical study of a test for polynomial relationships in randomly right censored regression models, Computational Statistics & Data Analysis. 2007, 51(12): 6543-6556. (SCI:208JQ)
18. Wang Ning, Zhang Wen-Xiu, Mei Chang-Lin, Fuzzy nonparametric regression based on local linear smoothing technique. Information Sciences, 2007, 177(18): 3882-3900. (SCI:196NX)
19. Bao Yanchun, He Shuyuan, Mei Chang-Lin, The Koul-Susarla-Van Ryzin and weighted least squares estimates for censored linear regression model: A comparative study. Computational Statistics & Data Analysis, 2007, 51(12): 6488-6497. (SCI:208JQ)