Robust likelihood inference for regression parameters in partially linear models

DOI10.1016/j.csda.2010.10.025zbMath1328.62402OpenAlexW2021096263MaRDI QIDQ901546

Tsung-Shan Tsou, Chung-Wei Shen, Narayanaswamy Balakrishnan

Publication date: 12 January 2016

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.10.025

zbMATH Keywords

generalized additive modelsrobust likelihoodpartially-linear models

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) General nonlinear regression (62J02)

Related Items (2)

Statistical tests in the partially linear additive regression models ⋮ Outlier Resistant Estimation in Difference-Based Semiparametric Partially Linear Models

Uses Software

• KernSmooth

Cites Work

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• Estimation in partially linear models and numerical comparisons
• An elementary estimator of the partial linear model
• Quasi-likelihood functions
• Robust estimates in generalized partially linear models
• Robust inference in generalized partially linear models
• Robust Poisson regression
• Inferences of variance function – a parametric robust way
• Penalized Likelihood for General Semi-Parametric Regression Models
• Interpreting Statistical Evidence by using Imperfect Models: Robust Adjusted Likelihood Functions
• Semiparametric Regression for the Applied Econometrician
• Nonparametric Roughness Penalties for Probability Densities
• Maximum Likelihood Estimation of Misspecified Models

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