Assessing the equivalence of nonparametric regression tests based on spline and local polynomial smoothers

DOI10.1016/j.jspi.2003.07.013zbMath1072.62032OpenAlexW2052826314MaRDI QIDQ1888853

Chunming Zhang

Publication date: 29 November 2004

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.07.013

zbMATH Keywords

Smoothing splineGoodness-of-fitLocal polynomial regressionSmoothing parameterGeneralized likelihood ratio test

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)

Related Items (4)

Inference of the derivative of nonparametric curve based on confidence distribution ⋮ An updated review of goodness-of-fit tests for regression models ⋮ Optimal minimax rates of specification testing with data-driven bandwidth ⋮ A scalable nonparametric specification testing for massive data

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