{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/excess-mass-estimates-and-tests-for","title":"Excess Mass Estimates and Tests for Multimodality","arxiv_id":null,"date":"1991-09-01","proceeding":"Journal of the American Statistical Association 1991 9","authors":["D. W. Muller and G. Sawitzki"],"abstract":"We propose and study a method for analyzing the modality of a distribution. The method is based on the excess mass functional. This functional measures excessive empirical mass in comparison with multiples of uniform distribution. By the excess mass approach we separate the investigation about the number of modes from questions concerning their location. For distributions on the line, the excess mass functional can be estimated at a square-root rate. The asymptotic behavior of estimators is studied, and tests for multimodality based on the excess mass are derived.","url_abs":"https://www.jstor.org/stable/2290406","url_pdf":"https://doi.org/10.2307/2290406","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"excess-mass-estimates-and-tests-for","repo_url":"https://github.com/scikit-learn-contrib/hdbscan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[],"methods":[{"method_slug":"eom","method_name":"EoM"}],"datasets_introduced":[],"methods_introduced":[{"slug":"eom","name":"EoM","full_name":"Excess of Mass"}],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}