Shortest Confidence Intervals of Weibull Modulus for Small Samples in Materials Reliability Analysis

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dc.authorid0000-0003-4255-5656
dc.authorid0000-0001-9045-6092
dc.authorwosidWOS:000979511700019
dc.contributor.authorYalçınkaya, Meryem
dc.contributor.authorBirgören, Burak
dc.date.accessioned2023-05-24T12:31:35Z
dc.date.available2023-05-24T12:31:35Z
dc.date.issued2023en_US
dc.departmentHitit Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractThe Weibull distribution has been widely used to model strength properties of brittle materials. Estimation of confidence intervals for Weibull shape parameter has been an important concern, since small sample sizes in materials science experiments bring about large intervals. Many methods have been proposed in the literature for constructing shorter intervals; the methods of maximum likelihood, least square, and Menon are among the most extensively studied methods. However, they all use an equal-tails approach. The pivotal quantities used for constructing confidence intervals have right-skewed and unimodal distributions, thus, they clearly do not produce the shortest intervals for a given confidence level in equal tail form. This study constructs the shortest confidence intervals for the three aforementioned methods and compares their performances by their equal-tails counterparts. To this end, a comprehensive simulation study has been conducted for the shape parameter values between 1 to 80 and the sample sizes between 3 to 20. The comparison criterion is chosen as the expected interval length. The results show that the shortest confidence intervals in each of three methods have yielded considerably narrower intervals. Further, the unknown parameter values are more centered in these intervals.
dc.description.provenanceSubmitted by Zeynep Umut NARİN (umutarslan@hitit.edu.tr) on 2023-05-24T12:31:11Z No. of bitstreams: 0en
dc.description.provenanceApproved for entry into archive by Zeynep Umut NARİN (umutarslan@hitit.edu.tr) on 2023-05-24T12:31:35Z (GMT) No. of bitstreams: 0en
dc.description.provenanceMade available in DSpace on 2023-05-24T12:31:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2023en
dc.identifier.citationYalçınkaya, M. & Birgören, B. (2023). Shortest Confidence Intervals for Weibull Modulus for Small Samples in Materials Reliability Analysis . Gazi University Journal of Science , 36 (1) , 284-299 .
dc.identifier.doi10.35378/gujs.916270
dc.identifier.endpage299en_US
dc.identifier.issn2147-1762
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage284en_US
dc.identifier.urihttps://doi.org/10.35378/gujs.916270
dc.identifier.urihttps://hdl.handle.net/11491/8469
dc.identifier.volume36en_US
dc.identifier.wosWOS:000979511700019
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherGAZI UNIV
dc.relation.ispartofGAZI UNIVERSITY JOURNAL OF SCIENCE
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectWeibull modulusen_US
dc.subjectInterval estimationen_US
dc.subjectShortest pivotal intervalen_US
dc.subjectClassical methodsen_US
dc.titleShortest Confidence Intervals of Weibull Modulus for Small Samples in Materials Reliability Analysis
dc.typeArticle

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