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BERRY-ESSEEN BOUNDS OF ERROR VARIANCE ESTIMATION IN PARTLY LINEAR MODELS
作者姓名:Gao Jiti  Hong Shengyan  Liang Hua
作者单位:[1]DepartmentofMathemaitcs,UniversityofScience&TechnologyofChina,Hefei230026,China. [2]InstituteofSyatemsScience,AcademiaSinica,Beijing100080,China. [4]DepartmentofMathematics,UniversityofAnhui,Hefei230039,China.
基金项目:ProjectsupportedbytheProbab .Lab .,Inst.ofApp .Math .,ChineseAcademyofSciencesandNationalNaturalSci enceFoundationofChina
摘    要:§1.IntroductionConsiderthemodelgivenbyYi=xiτβ g(ti) εi,i=1,…,(1.1)wherexi=(xi1,…,xip)τ(p1)andti(ti∈0,1])areknowndesignpoints,β=(β1,…,βp)τisanunknownparametervectorandgisanunknownfunction,andεiarei.i.d.randomerrorswithzero0andvarianceσ2.Themodeldefinedin(1.1)belongstotheclass…

关 键 词:BERRY-ESSEEN边界  误差方差估计  部分线性模型  最小平方估计
收稿时间:1994/1/31 0:00:00
修稿时间:1995/5/24 0:00:00

BERRY-ESSEEN BOUNDS OF ERROR VARIANCE ESTIMATION IN PARTLY LINEAR MODELS
Gao Jiti,Hong Shengyan,Liang Hua.BERRY-ESSEEN BOUNDS OF ERROR VARIANCE ESTIMATION IN PARTLY LINEAR MODELS[J].Chinese Annals of Mathematics,Series B,1996,17(4):477-490.
Authors:Gao Jiti  Hong Shengyan and Liang Hua
Institution:Department of Mathematics, University of Science & Technology of China, Hefei 230026, China,Department of Mathematics, University of Anhui, Hefei 230039, China and Institute of Systems Science, Academia Sinica, Beijing 100080, China
Abstract:Consider the regression model $Y_i=x_i^\tau\beta+g(t_i)+\varepsilon_i$ for $ i=1,\cdots, n.$ Here $(x_i, t_i)$ are known and nonrandom design points and $\E_i$ are i.i.d. random errors. The family of nonparametric estimates $\hat g_n(\cdot)$ of $g(\cdot)$ including some known estimates is proposed. Based on the model $Y_i=x_i^\tau\beta+\hat g_n(t_i)+\varepsilon_i,$ the Berry-Esseen bounds of the distribution of the least-squares estimator of $\beta$ are investigated.
Keywords:Partly linear model  Least-squares estimate  Berry-Esseen bounds
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