成组数据下加速失效模型的光滑估计

Journal of Jilin University Science Edition

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Smoothing Estimation in Accelerated FailureTime Model for Clustered Data

CHEN Wei^1,2, TIAN Yuan^1, REN Fengling³, WANG Dehui¹

1. College of Mathematics, Jilin University, Changchun 130012, China;2. Campus of Zhangjiagang, Jiangsu University of Science and Technology, Zhangjiagang 215600,Jiangsu Province, China; 3. School of Computer Science and Engineering, Xinjiang University of Finance and Economics, Urumqi 830012, China

Received:2014-07-11 Online:2015-03-26 Published:2015-03-24
Contact: WANG Dehui E-mail:Wangdehui69@163.com

Abstract

Abstract:

The authors proposed a smoothing estimation for regression parameters in the accelerated failure time model for clustered data. Under certain conditions, the proposed estimator is consistent and asymptotically normal. We designed a resampling method to estimate the asymptotic covariance matrix.

Key words: accelerated failure time model, clustered data, L-BFGS algorithm, polynomialbased smoothing, right censoring

CLC Number:

O212.7

CHEN Wei, TIAN Yuan, REN Fengling, WANG Dehui. Smoothing Estimation in Accelerated FailureTime Model for Clustered Data[J].Journal of Jilin University Science Edition, 2015, 53(02): 241-244.

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Smoothing Estimation in Accelerated FailureTime Model for Clustered Data

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