Nonparametric testing the similarity of two unknown density functions: local power and bootstrap analysis

DOI10.1080/10485259908832780zbMath0955.62046OpenAlexW2007257914MaRDI QIDQ3836395

Q. Li

Publication date: 27 February 2001

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485259908832780

zbMATH Keywords

bootstrapkernel estimationsmoothing parameterunknown densitiessingular local alternatives

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09)

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Cites Work

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• On some global measures of the deviations of density function estimates
• Hypotheses testing based on modified nonparametric estimation of an affinity measure between two distributions
• Nonparametric testing of closeness between two unknown distribution functions
• The bootstrap and Edgeworth expansion

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