| Extreme value analysis in biometrics. | |
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MedLine Citation:
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PMID: 19358216 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We review some approaches of extreme value analysis in the context of biometrical applications. The classical extreme value analysis is based on iid random variables. Two different general methods are applied, which will be discussed together with biometrical examples. Different estimation, testing, goodness-of-fit procedures for applications are discussed. Furthermore, some non-classical situations are considered where the data are possibly dependent, where a non-stationary behavior is observed in the data or where the observations are not univariate. A few open problems are also stated. |
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Authors:
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Jürg Hüsler |
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Publication Detail:
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Type: Journal Article; Review |
Journal Detail:
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Title: Biometrical journal. Biometrische Zeitschrift Volume: 51 ISSN: 1521-4036 ISO Abbreviation: Biom J Publication Date: 2009 Apr |
Date Detail:
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Created Date: 2009-04-13 Completed Date: 2009-06-04 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7708048 Medline TA: Biom J Country: Germany |
Other Details:
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Languages: eng Pagination: 252-72 Citation Subset: IM |
Affiliation:
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Department of Mathematical Statistics, University of Bern, Sidlerstrasse 5, CH-3012 Bern, Switzerland. juerg.huesler@stat.unibe.ch |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Biometry
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methods* Heart Rate / physiology Models, Statistical* Multivariate Analysis Plankton / physiology Sports / statistics & numerical data |
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