武萍

 无

主要研究方向为非参数、半参数统计方法；纵向数据模型分析；混合效应模型分析；小区域估计;变量选择。

《概率论与数理统计》、《回归分析》、《数理统计》、《经济预测与决策》、《非参数统计》、《大学统计》、《实用统计方法》

Probability and Statistics, Regression Analysis, Mathematic Statistics, Nonparametric Statistics,  Economic Forecast and Decision-making, Applied Statistical Methods.

1、国家自然科学基金青年项目(11101157) 纵向数据中混合效应模型的估计和变量选择问题(2013/01-2015/12) 已结题、主持。

2、国家自然科学基金面上项目(11371142) 基于参数与半参数回归的小区域估计问题研究(2014/01-2017/12) 在研、参与

3、国家社会科学基金青年项目（13CGL048) 发展战略性新兴产业视角下动态公司治理对企业研发创新的影响研究, 参与

4、华东师范大学社科项目 骨骼肌功能综合测评指数构建研究(43800-20206-542500) (2020/01-2023/12) , 主持

       【1】 Ping Wu, Winfried Stute and Lixing Zhu (2012). Efficient estimation of moments in linear mixed models. Bernoulli， 18,
206-228。
        【2】Ping Wu, Yun Fang and Lixing Zhu (2012). Checking for normality in linear mixed models（2012）, 55, 787-504.
        【3】Zaixing Li, Yuedong Wang, Ping Wu, Wangli Xu and Lixing Zhu.(2012) Tests for variance components in varying coefficient
mixed models. Statistic sinica, 22,123-148.
        【4】Ping Wu and Lixing Zhu (2010). An orthogonality-based estimation of moments for linear mixed models. Scandinavian
Journal of Statistics, 37, 253-263.
        【5】Zaixing Li, Lixing Zhu, Ping Wu, Jianhong Wu and Wangli Xu.(2010) Testing for random effects in linear mixed models for
longitudinal data under moment conditions. Acta Mathematica Sinica, 26, 497-514.
        【6】Yun Fang, Ping Wu and Lixing Zhu (2009). Statistical analysis for nonlinear mixed models with random design, 应用概率统
计, 25, 327-326. (English)。
        【7】Ping Wu, Yun Fang and Lixing Zhu (2008). Estimation of moments in linear mixed models with fixed designs.
Communication in Statistics Theory and Methods, 37, 2582-2594。
        【8】Ping Wu，Xinchao Luo, Peirong Xu and Lixing Zhu (2017).
        New variable selection for linear mixed-effects models. Annals of the Institute of Statistics Mathematics, 69，627-646.
        
        【9】Jun Zhang, Yujie Gai, Ping wu (2013). Estimation in linear regression models with measurement errors subject to singleindexed distortion. Computational Statistics and Data Analysis, 59, 103-120.

        
        【10】Ping Wu ＆ Jiming Jiang (2020). Robust estimation of mean squared predcition error in small-area estimation, The Canadian Journal of Statistics.