A new orthogonality-based estimation for varying-coefficient partially linear models
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Publication:1726157
DOI10.1016/j.jkss.2018.08.001zbMath1411.62197OpenAlexW2885845174MaRDI QIDQ1726157
Publication date: 19 February 2019
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jkss.2018.08.001
longitudinal dataQR decompositionquadratic inference functionvarying coefficient partially linear model
Directional data; spatial statistics (62H11) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05)
Related Items
Weighted bias-corrected restricted statistical inference for heteroscedastic semiparametric varying-coefficient errors-in-variables model, Orthogonality-based empirical likelihood inference for varying-coefficient partially nonlinear model with longitudinal data, Robust empirical likelihood inference for partially linear varying coefficient models with longitudinal data, Robust estimation and variable selection for varying-coefficient partially nonlinear models based on modal regression
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