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A new approach for estimating the parameters of Weibull distribution via particle swarm optimization: An application to the strengths of glass fibre data

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dc.contributor.authorAcıtaş, Şükrü
dc.contributor.authorÇağdaş Hakan Aladağ
dc.contributor.authorBirdal Şenoğlu
dc.contributor.orcid0000-0002-4131-0086
dc.contributor.orcid0000-0002-3953-7601
dc.contributor.orcid0000-0003-3707-2393
dc.date.accessioned2025-11-13T09:27:29Z
dc.date.issued2018-07-21
dc.identifier.doihttps://doi.org/10.1016/j.ress.2018.07.024
dc.identifier.endpage127
dc.identifier.issn0951-8320
dc.identifier.openalexW2883911124
dc.identifier.startpage116
dc.identifier.urihttps://hdl.handle.net/11421/1201
dc.identifier.urihttps://doi.org/10.1016/j.ress.2018.07.024
dc.identifier.volume183
dc.language.isoen
dc.relation.ispartofReliability Engineering & System Safety
dc.rightsrestrictedAccess
dc.subjectWeibull distribution
dc.subjectParticle swarm optimization
dc.subjectEstimator
dc.subjectMonte Carlo method
dc.subjectMathematical optimization
dc.subjectHeuristic
dc.subjectComputer science
dc.subjectConfidence interval
dc.subjectStatistics
dc.subjectAlgorithm
dc.subjectMathematics
dc.titleA new approach for estimating the parameters of Weibull distribution via particle swarm optimization: An application to the strengths of glass fibre data
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5031549719

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