Efficiently estimating the error distribution in nonparametric regression with responses missing at random

DOI10.1080/10485252.2013.795222zbMath1416.62209arXiv1610.08360OpenAlexW3099962478MaRDI QIDQ2863042

Justin Chown, Ursula U. Müller

Publication date: 21 November 2013

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1610.08360

zbMATH Keywords

efficient estimatornonparametric regressionempirical distribution functionmissing at randomlocal polynomial smoothertransfer principlemartingale transformtest for normal errors

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Related Items (2)

Efficient estimation of the error distribution function in heteroskedastic nonparametric regression with missing data ⋮ Model checking for parametric regressions with response missing at random

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