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EFFICIENT ESTIMATION OF SEEMINGLY UNRELATED ADDITIVE NONPARAMETRIC REGRESSION MODELS
《Journal of Systems Science & Complexity》2013年第4期595-608,共14页YUAN Yuan YOU Jinhong ZHOU Yong 
supported by National Natural Science Funds for Distinguished Young Scholar under Grant No.70825004;National Natural Science Foundation of China under Grant Nos.10731010 and 10628104;the National Basic Research Program under Grant No.2007CB814902;Creative Research Groups of China under Grant No.10721101;supported by leading Academic Discipline Program,211 Project for Shanghai University of Finance and Economics(the 3rd phase)and project number:B803;supported by grants from the National Natural Science Foundation of China under Grant No.11071154
This paper is concerned with the estimating problem of seemingly unrelated(SU)nonparametric additive regression models.A polynomial spline based two-stage efficient approach is proposed to estimate the nonparametric c...
关键词：Additive structure asymptotic normality nonparametric modelling polynomial spline seemingly unrelated regression two-stage estimation. 
TWO-STAGE ESTIMATION FOR SEEMINGLY UNRELATED NONPARAMETRIC REGRESSION MODELS被引量：2
《Journal of Systems Science & Complexity》2007年第4期509-520,共12页Jinhong YOU Shangyu XIE Yong ZHOU 
The research was supported in part by National Natural Science Foundation of China （NSFC） under Grants No. 10471140 and No. 10731010, the National Basic Research Program of China （973 Program） under Grant No. 2007CB814902, and Science Fund for Creative Research Groups.
This paper is concerned with the estimating problem of seemingly unrelated （SU） non- parametric regression models. The authors propose a new method to estimate the unknown functions, which is an extension of the two...
关键词：Asymptotic normality nonparametrie model seemingly unrelated regression two-stage estimation 
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