DocumentCode :
2846765
Title :
Estimation of semiparametric model with censored data
Author :
Zhongwei, Chen ; Yiqiang, Lu
Author_Institution :
Inst. of Electron. Technol., PLA Inf. Eng. Univ., Zhengzhou, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
2639
Lastpage :
2643
Abstract :
For semiparametric regression model with censored data, we firstly propose the estimators of parametric and nonparametric part by the use of kernel method based on distribution function and least squares methods. Secondly, the asymptotic normality of parametric part and the strong consistency of nonparametric part are proved.
Keywords :
least squares approximations; parameter estimation; regression analysis; asymptotic normality; censored data; distribution function; kernel method; least squares methods; nonparametric estimation; parametric estimation; regression model; semiparametric model estimation; strong consistency; Data engineering; Distribution functions; Electronic mail; Kernel; Least squares methods; Maximum likelihood estimation; Medical tests; Nearest neighbor searches; Programmable logic arrays; Smoothing methods; asymptotic normality; censored data; semiparametric model; strong consistency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498761
Filename :
5498761
Link To Document :
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