A bootstrap version of the residual-based smooth empirical distribution function

DOI10.1080/10485250801908363zbMath1141.62027OpenAlexW2164806795MaRDI QIDQ3506265

Natalie Neumeyer

Publication date: 12 June 2008

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

Full work available at URL: https://doi.org/10.1080/10485250801908363

zbMATH Keywords

resamplingkernel estimatorerror distribution

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05) Order statistics; empirical distribution functions (62G30) Nonparametric statistical resampling methods (62G09)

Related Items (6)

Unnamed Item ⋮ Estimating the Conditional Error Distribution in Non-parametric Regression ⋮ A SIMPLE NONPARAMETRIC APPROACH FOR ESTIMATION AND INFERENCE OF CONDITIONAL QUANTILE FUNCTIONS ⋮ Smooth Residual Bootstrap for Empirical Processes of Non‐parametric Regression Residuals ⋮ Empirical likelihood estimators for the error distribution in nonparametric regression models ⋮ Testing independence in nonparametric regression

Uses Software

• R

Cites Work

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