Testing Monotonicity of Regression Functions - An Empirical Process Approach

DOI10.1111/j.1467-9469.2012.00820.xzbMath1364.62104OpenAlexW1891785471MaRDI QIDQ2852621

Natalie Neumeyer, Melanie Birke

Publication date: 9 October 2013

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

Full work available at URL: http://hdl.handle.net/2003/27109

zbMATH Keywords

nonparametric regressionKolmogorov-Smirnov testmonotone rearrangementsmodel testresidual processes

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Related Items

Testing for monotonicity under endogeneity: an application to the reservation wage function ⋮ Estimation and hypotheses testing in boundary regression models ⋮ An F-type test for detecting departure from monotonicity in a functional linear model

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