Karar teorisinde tahmin edicilerin evrensel kabul olunabilirlik özelliği

dc.contributor.advisorGenç, Ali İhsan
dc.contributor.authorÖzkip, Evren
dc.date.accessioned2024-11-04T20:08:10Z
dc.date.available2024-11-04T20:08:10Z
dc.date.issued2007
dc.departmentNiğde ÖHÜ, Fen Bilimleri Enstitüsü, Matematik Ana Bilim Dalı
dc.descriptionFen Bilimleri Enstitüsü, Matematik Ana Bilim Dalı
dc.description.abstractIn statistical decision theory, an estimator is said to be universally dominating if it dominates another estimator under a given loss and it continues to dominate it under a different loss. In this thesis, the dominating estimators under a class of loss functions based on the absolute error are studied with various parametric situations and families. Key Words: Admissible estimator, Loss function; Risk function; Decision function; Estimator; Minimax principle; Maximum likelihood function.
dc.identifier.endpage48
dc.identifier.startpage1
dc.identifier.urihttps://tez.yok.gov.tr/UlusalTezMerkezi/TezGoster?key=-Z0vbSUgrhM9fXoGkRe6Q9aeLtTKwMK8kFPq7qIibsv3MAX6VQZf5FZFDHmIp7BC
dc.identifier.urihttps://hdl.handle.net/11480/9728
dc.identifier.yoktezid222779
dc.language.isotr
dc.publisherNiğde Üniversitesi
dc.relation.publicationcategoryTez
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_2024
dc.subjectMatematik
dc.subjectMathematics
dc.subjectİstatistik
dc.titleKarar teorisinde tahmin edicilerin evrensel kabul olunabilirlik özelliği
dc.title.alternativeUniversal admissibility of estimators in decision theory
dc.typeMaster Thesis

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