Assessing additivity in nonparametric models -A kernel-based method

DOI10.1002/cjs.10128zbMath1228.62051OpenAlexW2158329795MaRDI QIDQ3108008

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Publication date: 28 December 2011

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

Full work available at URL: https://doi.org/10.1002/cjs.10128

zbMATH Keywords

kernel estimationnonparametric modelwild bootstrap

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09) Monte Carlo methods (65C05)

Related Items (3)

Quantile regression estimation of partially linear additive models ⋮ Testing for additivity in nonparametric heteroscedastic regression models ⋮ A NONPARAMETRIC TEST OF SIGNIFICANT VARIABLES IN GRADIENTS

Cites Work

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