A note on kernel density estimation for non-negative random variables

DOI10.1007/BF02511640zbMath1154.62328OpenAlexW2087391746MaRDI QIDQ998884

Marco Di Marzio, Tonino Sclocco

Publication date: 30 January 2009

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02511640

zbMATH Keywords

boundary biaskernel density estimationlocal polynomial fitprobability integral transformationplug-in bandwidth selectionboundary kernel estimatorsreflection about the boundary

Mathematics Subject Classification ID

Uses Software

• KernSmooth

Cites Work

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• Estimation of integrated squared density derivatives
• Assessing bandwidth selectors with visual error criteria
• Bias reduction in kernel density estimation by smoothed empirical transformations
• A comparative study of several smoothing methods in density estimation
• Bandwidth selection: Classical or plug-in?
• An Effective Bandwidth Selector for Local Least Squares Regression
• The Efficiency of Some Nonparametric Competitors of the $t$-Test
• Biased and Unbiased Cross-Validation in Density Estimation
• How much do plug-in bandwidth selectors adapt to non-smoothness?
• On Choosing a Delta-Sequence
• On Estimation of a Probability Density Function and Mode

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