Estimating the density of a possibly missing response variable in nonlinear regression
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Publication:413378
DOI10.1016/J.JSPI.2011.11.021zbMath1300.62030OpenAlexW2041786906MaRDI QIDQ413378
Publication date: 4 May 2012
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2011.11.021
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Linear regression; mixed models (62J05) General nonlinear regression (62J02)
Related Items (6)
\(\sqrt{n}\)-consistent density estimation in semiparametric regression models ⋮ Root-\(n\) consistent estimation of the marginal density in semiparametric autoregressive time series models ⋮ On density and regression estimation with incomplete data ⋮ Uniform convergence of convolution estimators for the response density in nonparametric regression ⋮ Convergence rate of wavelet density estimator with data missing randomly when covariables are present ⋮ Non Standard Behavior of Density Estimators for Functions of Independent Observations
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