魏传华,吴喜之.部分线性变系数模型中估计的渐进正态性[J].数学研究及应用,2008,28(4):877~885
部分线性变系数模型中估计的渐进正态性
Asymptotic Normality of Estimators in Partially Linear Varying Coefficient Models
投稿时间:2006-10-12  修订日期:2007-07-13
DOI:10.3770/j.issn:1000-341X.2008.04.017
中文关键词:  部分线性变系数模型  渐进正态性  局部线性光滑  Profile 最小二乘  异方差.
英文关键词:asymptotic normality  Heteroscedasticity  profile least-squares approach  partially linear varying coefficient model  local linear smoothing.
基金项目:国家自然科学基金(No.10431010).
作者单位
魏传华 中央民族大学理学院统计学系, 北京 100081 
吴喜之 中国人民大学统计学院, 北京 100872 
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中文摘要:
      作为部分线性模型与变系数模型的推广,部分线性变系数模型是一类应用非常广泛的模型,本文基于Profile最小二乘方法给出了模型中参数分量与非参数分量的估计,并在异方差情形下证明了这些估计的渐进正态性.
英文摘要:
      Partially linear varying coefficient model is a generalization of partially linear model and varying coefficient model and is frequently used in statistical modeling. In this paper, we construct estimators of the parametric and nonparametric components by Profile least-squares procedure which is based on local linear smoothing. The resulting estimators are shown to be asymptotically normal with heteroscedastic error.
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