Partially Linear Models: A New Algorithm and some Simulation Results

COMPSTAT ◽  
1998 ◽  
pp. 443-448
Author(s):  
Michael G. Schimek
Keyword(s):  
Linear Models ◽  
Partially Linear Models ◽  
Partially Linear ◽  
Simulation Results

Quantile Regression for Partially Linear Models with Missing Responses at Random

2015 ◽  
Vol 727-728 ◽  
pp. 1013-1016
Author(s):  
Pei Xin Zhao
Keyword(s):  
Quantile Regression ◽  
Linear Models ◽  
Estimation Method ◽  
Regression Method ◽  
Partially Linear Models ◽  
Missing Response ◽  
Missing Responses ◽  
Partially Linear ◽  
Simulation Results ◽  
Quantile Regression Method

In this paper, we propose a weighted quantile regression method for partially linear models with missing response at random. The proposed estimation method can give an efficient estimator for parametric components, and can attenuate the effect of missing responses. Some simulations are carried out to assess the performance of the proposed estimation method, and simulation results indicate that the proposed method is workable.

FPCA-based estimation for generalized functional partially linear models

2019 ◽  
Vol 61 (6) ◽  
pp. 2715-2735 ◽  
Author(s):  
Ruiyuan Cao ◽  
Jiang Du ◽  
Jianjun Zhou ◽  
Tianfa Xie
Keyword(s):  
Linear Models ◽  
Partially Linear Models ◽  
Partially Linear
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