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NONLINEAR WAVELET SMOOTHING OF ERROR DENSITY IN A SEMIPARAMETRIC REGRESSION MODEL
作者姓名:ChaiGenxiang  XuKejun
作者单位:Dept.ofAppl.Math.,TongjiUniv.,Shanghai200092.
摘    要:In this paper,a semlparametrie resresaion model in which errors are i. i. d random variables from an unknown density f( ) is considered. Based on Hall et al. (1995),a nonlinear wavelet estimation of f( ) without restrictions of continuity everywhere on f( ) is given,and the convergence rate of the estimators in L2 is obtained.

关 键 词:半参数衰退模型  线性微波滤波  误差密度  收敛率
收稿时间:8 July 1998

Nonlinear wavelet smoothing of error density in a semiparametric regression model
ChaiGenxiang XuKejun.NONLINEAR WAVELET SMOOTHING OF ERROR DENSITY IN A SEMIPARAMETRIC REGRESSION MODEL[J].Applied Mathematics A Journal of Chinese Universities,1999,14(3):329-336.
Authors:Genxiang Chai  Kejun Xu
Institution:(1) Dept. of Appl. Math., Tongji Univ., 200092 Shanghai
Abstract:In this paper, a semiparametric regression model in which errors are i. i. d random variables from an unknown density f(·) is considered. Based on Hall et al. (1995), a nonlinear wavelet estimation of f(·) without restrictions of continuity everywhere on f(·) is given, and the convergence rate of the estimators in L 2 is obtained. Project is supported by National Natural Science Foundation of China (19571061).
Keywords:Sem iparam etric regression  error density  w avelet  nonlinear w avelet  estim ation ofdensity  
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