Asymptotic behavior of robust estimators in partially linear models with missing responses: the effect of estimating the missing probability on the simplified marginal estimators

DOI10.1007/s11749-010-0216-0zbMath1274.62348OpenAlexW2089230031MaRDI QIDQ1761541

Ana Pérez-González, Graciela Boente, Wenceslao González Manteiga, Ana M. Bianco

Publication date: 15 November 2012

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-010-0216-0

zbMATH Keywords

nonparametric regressionmissing at randomrobust estimationkernel weightsFisher-consistency\(M\)-location functionals

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)

Related Items (4)

Robust doubly protected estimators for quantiles with missing data ⋮ Asymptotic behavior of robust estimators in partially linear models with missing responses: the effect of estimating the missing probability on the simplified marginal estimators ⋮ Goodness-of-fit tests for quantile regression with missing responses ⋮ Robust inference in partially linear models with missing responses

Uses Software

• robustbase

Cites Work

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