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博士,西安交通大学

1995硕士,比利时Limburgs Universitair Centrum大学

1989硕士,西安交通大学

1983学士,西安交通大学


工作经历

2009年至2012教授,西安交通大学数学与统计学院

2008年至2009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教授,西安交通大学理学院

2000年至2001副教授,西安交通大学理学院

1998年至2000副教授,西安交通大学理学院

1997年至1998副研究员,香港中文大学环境研究中心合作研究

1995年至1997副教授,西安交通大学理学院

1989年至1994讲师,西安交通大学数学系

1983年至1986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 StatisticsSimulation 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 StatisticsTheory 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 MathematicsA 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)


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