Empirical Likelihood Based Diagnostics for Heteroscedasticity in Semiparametric Varying-Coefficient Partially Linear Models with Missing Responses

2021 ◽  
Author(s):  
Feng Liu ◽  
Weiqing Gao ◽  
Jing He ◽  
Xinwei Fu ◽  
Xinmei Kang
Keyword(s):  
Empirical Likelihood ◽  
Linear Models ◽  
Partially Linear Models ◽  
Varying Coefficient ◽  
Missing Responses ◽  
Partially Linear

scholarly journals Adjusted Empirical Likelihood for Varying Coefficient Partially Linear Models with Censored Data

2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
Peixin Zhao
Keyword(s):  
Censored Data ◽  
Empirical Likelihood ◽  
Linear Models ◽  
Real Data ◽  
Partially Linear Models ◽  
Finite Sample ◽  
Varying Coefficient ◽  
Partially Linear ◽  
Adjusted Empirical Likelihood ◽  
Chi Squared

By constructing an adjusted auxiliary vector ingeniously, we propose an adjusted empirical likelihood ratio function for the parametric components of varying coefficient partially linear models with censored data. It is shown that its limiting distribution is standard central chi-squared. Then the confidence intervals for the parametric components are constructed. A simulation study and a real data analysis are undertaken to assess the finite sample performance of the proposed method.

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