A nonparametric approach to k-sample inference based on entropy

DOI10.1080/10485259708832722zbMath0884.62042OpenAlexW2082164746MaRDI QIDQ4372866

Robert Disario, Ashis K. Gangopadhyay, Dey, Dipak K.

Publication date: 28 January 1998

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

Full work available at URL: https://doi.org/10.1080/10485259708832722

zbMATH Keywords

convergence rateskernel density estimationroot-n consistencyanalysis of entropy

Mathematics Subject Classification ID

Density estimation (62G07) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

A new class of random vector entropy estimators and its applications in testing statistical hypotheses

Cites Work

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• Uncertainty, Information, and Sequential Experiments
• ASYMPTOTIC NORMALITY OF LINEAR RANK STATISTICS UNDER ALTERNATIVES
• Prior Probabilities
• Consistent Nonparametric Entropy-Based Testing

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