| dc.contributor.author | Shamılov, Aladdin | |
| dc.contributor.author | Mert Kantar, Yeliz | |
| dc.contributor.author | Usta, İlhan | |
| dc.date.accessioned | 2019-10-20T09:31:38Z | |
| dc.date.available | 2019-10-20T09:31:38Z | |
| dc.date.issued | 2006 | |
| dc.identifier.issn | 1790-0832 | |
| dc.identifier.uri | https://hdl.handle.net/11421/17746 | |
| dc.description.abstract | In this paper, a approach for parameter estimation is presented by using different divergence information measures. A comparison of the proposed approach and usual methods, such as the moment method, the least square method, is also given. The presented optimization approach is applied to estimate two-parameter Weibull distribution which is widely used in reliability, life testing, survival analysis, engineering and wind energy studies. Also, analysis of validation of the a approach used the different information-theoretical divergence measures on real wind data is presented. | en_US |
| dc.language.iso | eng | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Downhill Simplex Method | en_US |
| dc.subject | J Measure | en_US |
| dc.subject | Kullback-Leibler Measure | en_US |
| dc.subject | Parameter Estimation Methods | en_US |
| dc.subject | Weibull Distribution | en_US |
| dc.title | Parameter estimation using different information-theoretical divergence measures | en_US |
| dc.type | article | en_US |
| dc.relation.journal | WSEAS Transactions on Information Science and Applications | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümü | en_US |
| dc.identifier.volume | 3 | en_US |
| dc.identifier.issue | 12 | en_US |
| dc.identifier.startpage | 2355 | en_US |
| dc.identifier.endpage | 2359 | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
