DocumentCode :
532451
Title :
Two step estimationon generalized semi-varying coefficient models
Author :
Jin, Yang ; Shi-Qin, Lv ; Juan, Wei
Author_Institution :
Coll. of Sci., Taiyuan Univ. of Technol., Taiyuan, China
Volume :
2
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
The generalized semi-varying coefficient models are studied in this paper. Local quasi-likelihood method and average method are employed to produce the estimators of the constant coefficients in the parametric component, After replacing the coefficients in the parametric component by the obtained estimators, the function coefficients in nonparametric part are estimated via quasi-likelihood method and backfitting technical. The asymptotic normalities of the estimations on parametric component and nonparametric component are investigated. Two simulated examples show that this estimation method is effective.
Keywords :
parameter estimation; average method; backfitting technical; function coefficients; generalized semi-varying coefficient models; local quasi-likelihood method; parametric component; two step estimation; Asymptotic normality; Local linear; Local quasi-likelihood; Varying coefficient models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5620557
Filename :
5620557
Link To Document :
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