ANCOVA Methods for Heteroscedastic Nonparametric Regression Models

DOI10.1198/016214501750332802zbMath1015.62035OpenAlexW1964390337MaRDI QIDQ4808063

Michael G. Akritas, Ingrid Van Keilegom

Publication date: 14 July 2003

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/016214501750332802

zbMATH Keywords

unbalanced designsasymptotic representationANCOVAheteroscedastic nonparametric regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (8)

ADAPTIVE ESTIMATION IN A HETEROSCEDASTIC NONPARAMETRIC REGRESSION ⋮ Methods of adjusted comparison of medians ⋮ Quantile inference for heteroscedastic regression models ⋮ A smooth simultaneous confidence band for conditional variance function ⋮ Sharp non-asymptotic oracle inequalities for non-parametric heteroscedastic regression models ⋮ Comparing nonparametric surfaces ⋮ Empirical likelihood tests for two-sample problems via nonparametric density estimation ⋮ Non-parametric adjustment for covariates when estimating a treatment effect

This page was built for publication: ANCOVA Methods for Heteroscedastic Nonparametric Regression Models