Testing Independence of Covariates and Errors in Non‐parametric Regression

DOI10.1111/sjos.12301zbMath1402.62067OpenAlexW2746515223MaRDI QIDQ4685437

Subhra Sankar Dhar, Angelos Dassios, Wicher P. Bergsma

Publication date: 8 October 2018

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

Full work available at URL: http://eprints.lse.ac.uk/83780/

zbMATH Keywords

Kendall's tauasymptotic powercontiguous alternativesmeasure of associationdistance covariancenonparametric regression model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10)

Related Items (3)

Computationally efficient approximations for independence tests in non-parametric regression ⋮ On distance based goodness of fit tests for missing data when missing occurs at random ⋮ Unnamed Item

This page was built for publication: Testing Independence of Covariates and Errors in Non‐parametric Regression