期刊文献+

一类EV模型中参数σ~2的加权M估计的渐近正态性 被引量:1

Asymptotic Normality of Weighted M-Estimation of Parameters σ~2 in the Linear Varying-coefficients Structural EV Models.
在线阅读 下载PDF
导出
摘要 考虑变系数多维线性结构关系EV模型y=xTβ(t),Y=y+ε,X=x+u,利用文[4]构造的参数β(t)在t=t0处的参数β(t0)的估计量βn(t0)构造参数σ2的估计量σn2,并证明它具有渐近正态性. In this paper, we consider the estimation δn^2 of parameters δ^2 in the multivariate varying - coefficients structuralEVmodels y=x^Tβ(t),y=y+ε,X=x+u . The estimation an z are constructed by using the weighted M - estimation βn (t0) of parameters β(t) at t = t0. The asymptotic normality of estimator is also obtained
作者 欧阳光
机构地区 湘南学院数学系
出处 《湘南学院学报》 2013年第2期7-9,13,共4页 Journal of Xiangnan University
关键词 变系数 线性结构 EV模型 加权M估计量 渐近正态性 varying- coefficient linear structure EV models weighted M- estimation asymptotic normality.
  • 相关文献

参考文献4

二级参考文献14

  • 1欧阳光.变系数线性结构关系EV模型的参数估计[J].应用数学学报,2005,28(1):73-85. 被引量:20
  • 2Cui Hengfian. Asymptotic normality of M - estimates in the EV model[ J ]. Systems Science and Mathematical, Scieces. 1997,10(3) : 225 - 236.
  • 3Pollard, D. Empirical Processes : Theory and Applications [ M ]. Haywaid : California Institute of mathematicel statistics.
  • 4Cui Hengjian, He Xuming, Zhu Lixing. On Regression Estimators with De-noised Variables. Statistica Sinica, 2002, 12:1191-1205.
  • 5Cui Hengjian, Li Rongcai. On Parameter Estimation for Semi-linear Errors-in-variables Models. J.of Multivariate Analysis, 1998, 64:1-24.
  • 6Fuller W A. Measurement Error Models. New York: Wiley, 1987.
  • 7Kendall M, Struart A. The Advanced Theory of Statistics, Vol 2. Charles Griffin, 1979.
  • 8He X, Liang H. Quantile Regression Estimates for a Class of Linear and Partially Linear Errors-invariables Models. Statistica Sinica, 2000, 10:129-140.
  • 9Fan J, Yao O, Cai Z. Adaptive Varying-coefficient Linear Models. Journal of Royal Statistical Society B., 2003, 65:57-80.
  • 10Amemiya T. Advanced Econometrics[ M]. New York: Harvard University Press, 1985.

共引文献34

同被引文献10

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部