Estimation procedures on Type-II censored data from a scaled Muth distribution

dc.contributor.authorBicer, Hayrinisa Demirci
dc.contributor.authorOzturker, Berkay
dc.contributor.authorBicer, Cenker
dc.date.accessioned2025-01-21T16:40:35Z
dc.date.available2025-01-21T16:40:35Z
dc.date.issued2021
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIn the present paper, we consider the estimation problem for the scaled Muth distribution under Type-II censoring scheme. In order to estimate the model parameters alpha and beta, the maximum likelihood, the least-squares, and the maximum spacing estimators are derived. To show estimation efficiencies of the estimators obtained with this paper, we present an extensive Monte-Carlo simulation study in which the estimators are compared according to bias and mean squared error criteria. Furthermore, we evaluate the applicability of the scaled Muth distribution by taking into account both full and Type-II censored data situations by an analysis conducted on a real-life dataset.
dc.identifier.doi10.14744/sigma.2021.00004
dc.identifier.endpage158
dc.identifier.issn1304-7205
dc.identifier.issn1304-7191
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85149904960
dc.identifier.scopusqualityQ3
dc.identifier.startpage148
dc.identifier.urihttps://doi.org/10.14744/sigma.2021.00004
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24712
dc.identifier.volume39
dc.identifier.wosWOS:000670431800004
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherYildiz Technical Univ
dc.relation.ispartofSigma Journal of Engineering and Natural Sciences-Sigma Muhendislik Ve Fen Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectLifetime model; Muth distribution; censored data; maximum spacing; maximum likelihood; least-squares
dc.titleEstimation procedures on Type-II censored data from a scaled Muth distribution
dc.typeArticle

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