Confidence intervals for nonparametric regression functions with missing data: multiple design case

DOI10.1007/s11424-011-8278-yzbMath1383.62117OpenAlexW1997735613MaRDI QIDQ301014

Yong Song Qin, Qing-Zhu Lei

Publication date: 29 June 2016

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-011-8278-y

zbMATH Keywords

confidence intervalnonparametric regressionnormal approximationmissing at random

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric tolerance and confidence regions (62G15)

Related Items (1)

A simple approach to construct confidence bands for a regression function with incomplete data

Cites Work

• Nonparametric multiple function fitting
• Confidence intervals for marginal parameters under fractional linear regression imputation for missing data
• Nonparametric function recovering from noisy observations
• Consistent nonparametric multiple regression: the fixed design case
• Asymptotic properties of the multivariate Nadaraya-Watson regression function estimate: The fixed design case
• Approximation Theorems of Mathematical Statistics
• Nonparametric Estimation of Mean Functionals with Data Missing at Random
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Empirical Likelihood-based Inference in Linear Models with Missing Data
• Estimation in Partially Linear Models With Missing Covariates
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