Strong uniform consistency of kernel probability density estimators based on sample moments

DOI10.1016/0167-7152(89)90087-4zbMath0675.62028OpenAlexW2005576445MaRDI QIDQ1122260

Belkacem Abdous

Publication date: 1989

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(89)90087-4

zbMATH Keywords

sample momentsuniform strong consistencywindow widthkernel probability density estimators

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Strong limit theorems (60F15)

Related Items (3)

On correcting for variance inflation in kernel density estimation ⋮ Adapting the classical kernel density estimator to data ⋮ Strong uniform consistency of kernel probability density estimators based on sample moments

Cites Work

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• Strong uniform consistency of kernel probability density estimators based on sample moments
• Remarks on Some Nonparametric Estimates of a Density Function
• Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
• On Estimation of a Probability Density Function and Mode

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