Modifying the kernel distribution function estimator towards reduced bias

DOI10.1080/02331880601106561zbMath1117.62031OpenAlexW2031940151MaRDI QIDQ3592333

Noël Veraverbeke, Paul Janssen, Jan W. H. Swanepoel

Publication date: 12 September 2007

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880601106561

zbMATH Keywords

bandwidthkernel estimationbiasmean integrated squared errorsmoothed bootstrapdistribution function estimator

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09) Estimation in survival analysis and censored data (62N02)

Related Items (5)

Methodology for nonparametric bias reduction in kernel regression estimation ⋮ Variable bandwidth kernel density estimation for censored data ⋮ Fourier methods for smooth distribution function estimation ⋮ Bias reduction in kernel density estimation ⋮ Two new nonparametric kernel distribution estimators based on a transformation of the data

Cites Work

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• Variable bandwidth kernel hazard estimators
• Boundary and Bias Correction in Kernel Hazard Estimation
• A simple bias reduction method for density estimation
• A New Kernel Distribution Function Estimator Based on a Non‐parametric Transformation of the Data

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