Kernel excess mass test for multimodality

DOI10.1111/anzs.12214OpenAlexW2791715075WikidataQ130122944 ScholiaQ130122944MaRDI QIDQ4639819

Byeong U. Park, Woncheol Jang, Seonmi Lee

Publication date: 11 May 2018

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12214

zbMATH Keywords

solar systemcalibrationkernel methodsempirical distribution functionminor planetsdip test statisticunimodality test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric statistical resampling methods (62G09) Characterization and structure theory of statistical distributions (62E10) Applications of statistics to physics (62P35) Galactic and stellar dynamics (85A05)

Uses Software

• KernSmooth
• diptest

Cites Work

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• An exponential inequality for the distribution function of the kernel density estimator, with applications to adaptive estimation
• The dip test of unimodality
• On mode testing and empirical approximations to distributions
• Bandwidth selection for kernel distribution function estimation
• Measuring mass concentrations and estimating density contour clusters -- An excess mass approach
• A Brief Survey of Bandwidth Selection for Density Estimation
• Excess Mass Estimates and Tests for Multimodality
• Calibrating the Excess Mass and Dip Tests of Modality
• Bandwith selection for the smoothing of distribution functions
• Using Evidence of Mixed Populations to Select Variables for Clustering Very High-Dimensional Data

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