DC pole | Wartość | Język |
dc.contributor.author | Gacki, Henryk | - |
dc.contributor.author | Kulawik, Agnieszka | - |
dc.date.accessioned | 2021-03-26T10:56:47Z | - |
dc.date.available | 2021-03-26T10:56:47Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Matematyka Stosowana, Vol. 48, no. 2 (2020), s. 101-114 | pl_PL |
dc.identifier.issn | 1730-2668 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/19683 | - |
dc.description.abstract | In the following paper a classification problem with two multivariate normally distributed classes is considered. The problem is solved in a case of an empirical real situation (a motors data) using the Karhunen-Loeve Transform and classifying functions based on estimators for unknown parameters of a multivariate normal distribution. We consider the maximum likelihood estimator and a robust one. The robust estimator bases on the Huber functions. The corresponding classifying functions (classifiers) are compared using the Leave-One-Out method. | pl_PL |
dc.language.iso | en | pl_PL |
dc.rights | Uznanie autorstwa 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/pl/ | * |
dc.subject | the Huber's function | pl_PL |
dc.subject | multivariate normal model | pl_PL |
dc.subject | robust estimator | pl_PL |
dc.subject | classifier | pl_PL |
dc.subject | the Karhunen-Loeve Transform | pl_PL |
dc.title | The Huber's functions and their application to a classification problem | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
dc.relation.journal | Matematyka Stosowana | pl_PL |
dc.identifier.doi | 10.14708/ma.v48i1.7045 | - |
Pojawia się w kolekcji: | Artykuły (WNŚiT)
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