scholarly journals Empirical likelihood inference in partially linear single-index models for longitudinal data

2010 ◽  
Vol 101 (3) ◽  
pp. 718-732 ◽  
Author(s):  
Gaorong Li ◽  
Lixing Zhu ◽  
Liugen Xue ◽  
Sanying Feng
Keyword(s):  
Longitudinal Data ◽  
Empirical Likelihood ◽  
Likelihood Inference ◽  
Single Index ◽  
Partially Linear ◽  
Single Index Models

scholarly journals Semiparametric GEE analysis in partially linear single-index models for longitudinal data

2015 ◽  
Vol 43 (4) ◽  
pp. 1682-1715 ◽  
Author(s):  
Jia Chen ◽  
Degui Li ◽  
Hua Liang ◽  
Suojin Wang
Keyword(s):  
Longitudinal Data ◽  
Single Index ◽  
Partially Linear ◽  
Single Index Models

scholarly journals Block Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Yafeng Xia ◽  
Hu Da
Keyword(s):  
Longitudinal Data ◽  
Likelihood Ratio ◽  
Empirical Likelihood ◽  
Likelihood Ratio Statistic ◽  
Likelihood Inference ◽  
Errors In Variables ◽  
Varying Coefficient ◽  
Mild Conditions ◽  
Partially Linear ◽  
Log Likelihood

Block empirical likelihood inference for semiparametric varying-coeffcient partially linear errors-in-variables models with longitudinal data is investigated. We apply the block empirical likelihood procedure to accommodate the within-group correlation of the longitudinal data. The block empirical log-likelihood ratio statistic for the parametric component is suggested. And the nonparametric version of Wilk’s theorem is derived under mild conditions. Simulations are carried out to access the performance of the proposed procedure.

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