Resampling for checking linear regression models via non-parametric regression estimation

DOI10.1016/S0167-9473(99)00117-6zbMath0967.62025OpenAlexW2003833444WikidataQ126803195 ScholiaQ126803195MaRDI QIDQ5940725

Juan M. Vilar Fernández, Wenceslao González Manteiga

Publication date: 20 August 2001

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(99)00117-6

zbMATH Keywords

bootstraptime serieshypothesis testingregression modelsnonparametric estimators

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric statistical resampling methods (62G09)

Related Items (5)

Bootstrap tests for nonparametric comparison of regression curves with dependent errors ⋮ An updated review of goodness-of-fit tests for regression models ⋮ Two tests for heterocedasticity in nonparametric regression ⋮ Nonparametric variance function estimation with missing data ⋮ An empirical study of a test for polynomial relationships in randomly right censored regression models

Cites Work

• Unnamed Item
• Unnamed Item
• Smoothing by weighted averaging of rounded points
• Comparison of two bandwidth selectors with dependent errors
• Testing goodness-of-fit in regression via order selection criteria
• Comparing nonparametric versus parametric regression fits
• Testing the hypothesis of a general linear model using nonparametric regression estimation
• Testing linear regression models using non-parametric regression estimators when errors are non-independent
• NN goodness-of-fit tests for linear models
• Bootstrap simultaneous error bars for nonparametric regression
• A nonparametric test of fit of a parametric model
• Bootstrap test of goodness of fit to a linear model when errors are correlated
• Algorithm AS 222: Resistant Smoothing Using the Fast Fourier Transform
• Testing goodness of fit via nonparametric function estimation techniques

This page was built for publication: Resampling for checking linear regression models via non-parametric regression estimation