Differences and derivatives in kernel estimation

DOI10.1007/BF02614016zbMath0781.62045MaRDI QIDQ1205145

M. C. Jones

Publication date: 1 April 1993

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/176435

zbMATH Keywords

kernel smoothingkernel functionsoptimal kernelsconvolutions of uniformsderivatives of kernel density estimatorsdifferences of empirical distribution functionsestimators of derivatives of density functions

Mathematics Subject Classification ID

Density estimation (62G07) Order statistics; empirical distribution functions (62G30)

Related Items (2)

On the discretisation error in the computation of the empirical characteristic function ⋮ A generalization of histogram type estimators

Cites Work

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• Averaged shifted histograms: Effective nonparametric density estimators in several dimensions
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• Remarks on Some Nonparametric Estimates of a Density Function
• A Consistent Estimator of a Component of a Convolution
• Optimizing Kernel Methods: A Unifying Variational Principle
• On the Asymptotic Distribution of the Estimates of the Derivatives of a Distribution Function
• Mean squared errors of estimates of a density and its derivatives
• Curve Estimates

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