An Inversion Theorem-Based Kernel Density Estimator for a Weighted Average and Difference of Weighted Averages with Applications

DOI10.1080/03610926.2010.542855zbMath1319.62083OpenAlexW1980633849MaRDI QIDQ3168534

Jeffrey C. Miecznikowski, Dongliang Wang, Alan D. Hutson

Publication date: 31 October 2012

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2010.542855

zbMATH Keywords

nonparametric methodsbootstrap techniques

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric statistical resampling methods (62G09)

Cites Work

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• Do robust estimators work with real data?
• The epsilon-skew-normal distribution for analyzing near-normal data
• Contribution to the bandwidth choice for kernel density estimates

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