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Empirical Likelihood Based Diagnostics for Heteroscedasticity in Semiparametric Varying-Coefficient Partially Linear Models with Missing Responses
Journal of Systems Science and Complexity ( IF 2.1 ) Pub Date : 2021-01-12 , DOI: 10.1007/s11424-020-9240-7
Feng Liu , Weiqing Gao , Jing He , Xinwei Fu , Xinmei Kang

This paper proposes an empirical likelihood based diagnostic technique for heteroscedasticity for semiparametric varying-coefficient partially linear models with missing responses. Firstly, the authors complement the missing response variables by regression method. Then, the empirical likelihood method is introduced to study the heteroscedasticity of the semiparametric varying-coefficient partially linear models with complete-case data. Finally, the authors obtain the finite sample property by numerical simulation.



中文翻译:

具有缺失响应的半参数变系数部分线性模型中基于经验似然性的异方差诊断

本文提出了一种基于经验似然性的异方差诊断技术,该方法用于具有丢失响应的半参数变系数部分线性模型。首先,作者通过回归方法对缺失的响应变量进行了补充。然后,引入经验似然法来研究具有完整案例数据的半参数变系数部分线性模型的异方差性。最后,作者通过数值模拟获得了有限样本性质。

更新日期:2021-03-10
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