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The paper presents empirical likelihood-based inference methods for generalized additive partially linear models, combining parametric and nonparametric components. It introduces pointwise confidence intervals and simultaneous confidence bands for nonparametric functions, demonstrating their advantages over traditional Wald-type methods through simulation studies. The proposed methods are applied to a university retention study, highlighting their practical utility in statistical inference.
- Author
- a289716565
- Language
- EN