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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2846765