Определение глубины данных на многомерных выборках
Concepts of depth and depth trimmed regions are considered, their main properties and classification are presented. 5 notions of data depth and results of investigating their correspondence with requirements, imposed on depth and regions, are discussed. One of the latest forms of depth zonoid depth...
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| Datum: | 2010 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Russian |
| Veröffentlicht: |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН та МОН України
2010
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| Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/17408 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Определение глубины данных на многомерных выборках / Т.И. Ланге, П.Ф. Можаровский // Індуктивне моделювання складних систем: Зб. наук. пр. — К.: МННЦ ІТС НАН та МОН України, 2010. — Вип. 2. — С. 101-119. — Бібліогр.: 17 назв. — рос. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| Zusammenfassung: | Concepts of depth and depth trimmed regions are considered, their main properties and classification are presented. 5 notions of data depth and results of investigating their correspondence with requirements, imposed on depth and regions, are discussed. One of the latest forms of depth zonoid depth and algorithms for depth computation and constructing regions are outlined. These mathematical tools for nonparametric data analysis can be applied in location and dispersion estimation, cluster analysis and risk estimation. |
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