Semiparametric empirical likelihood tests in varying coefficient partially linear models with repeated measurements

Peixin Zhao,Yiping Yang

doi:10.1016/j.stamet.2014.10.003

Semiparametric empirical likelihood tests in varying coefficient partially linear models with repeated measurements

Peixin Zhao, Yiping Yang

https://doi.org/10.1016/j.stamet.2014.10.003

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Journal: Statistical Methodology	Publication Date: Oct 23, 2014
Citations: 2

Affiliation: Hechi University, Chongqing Technology and Business University

#Empirical Likelihood #Empirical Likelihood Method + Show 8 more

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Abstract

Varying coefficient partially linear models are commonly used for analyzing data measured repeatedly, such as longitudinal data and panel data. In this paper, the testing problem for varying coefficient partially linear models with repeated measurements is investigated. Based on the empirical likelihood method, the test statistics are constructed for some testing problems. The Wilks phenomenon of these test statistics is proved, and then the rejection regions are constructed. Some simulation studies are undertaken to investigate the power of the empirical likelihood based testing method.

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