SEMIPARAMETRIC

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STRONG CONVERGENCE RATES OF SEVERAL ESTIMATORS IN SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELS被引量：1
《Acta Mathematica Scientia》2009年第5期1113-1127,共15页周勇 尤进红 王晓婧 
supported by the National Natural Science Funds for Distinguished Young Scholar (70825004);National Natural Science Foundation of China (NSFC) (10731010 and 10628104);the National Basic Research Program (2007CB814902);Creative Research Groups of China (10721101);Leading Academic Discipline Program, the 10th five year plan of 211 Project for Shanghai University of Finance and Economics;211 Project for Shanghai University of Financeand Economics (the 3rd phase)
This article is concerned with the estimating problem of semiparametric varyingcoefficient partially linear regression models. By combining the local polynomial and least squares procedures Fan and Huang （2005） prop...
关键词：partially linear regression model varying-coefficient profile leastsquares error variance strong convergence rate law of iterated logarithm 
ON CONFIDENCE REGIONS OF SEMIPARAMETRIC NONLINEAR REGRESSION MODELS(A GEOMETRIC APPROACH)被引量：3
《Acta Mathematica Scientia》2000年第1期68-75,共8页朱仲义 唐年胜 韦博成 
A geometric framework is proposed for semiparametric nonlinear regression models based on the concept of least favorable curve, introduced by Severini and Wong (1992). The authors use this framework to drive three kin...
关键词：confidence regions CURVATURES nonlinear regression models score statistic semiparametric models 
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