A comparison of different nonparametric methods for inference on additive models

DOI10.1080/10485250410001713972zbMath1055.62039OpenAlexW2143303438MaRDI QIDQ4651090

Stefan Sperlich, Carsten von Lieres und Wilkau, Dette, Holger

Publication date: 21 February 2005

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

Full work available at URL: https://doi.org/10.1080/10485250410001713972

zbMATH Keywords

test of additivitymarginal integration

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Nonparametric hypothesis testing (62G10)

Related Items (13)

Optimal testing for additivity in multiple nonparametric regression ⋮ Finite sample performance of kernel-based regression methods for non-parametric additive models under common bandwidth selection criterion ⋮ SPECIFICATION TESTING WHEN THE NULL IS NONPARAMETRIC OR SEMIPARAMETRIC ⋮ An updated review of goodness-of-fit tests for regression models ⋮ Low dimensional semiparametric estimation in a censored regression model ⋮ Derivative estimation and testing in generalized additive models ⋮ Estimating the error distribution function in semiparametric additive regression models ⋮ Testing for additivity in partially linear regression with possibly missing responses ⋮ Unnamed Item ⋮ Comments on: ``An updated review of goodness-of-fit tests for regression models ⋮ Testing for additivity in nonparametric heteroscedastic regression models ⋮ Assessing additivity in nonparametric models -A kernel-based method ⋮ Comparison of Separable Components in Different Samples

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