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dc.contributor.authorYuan, Fuqing
dc.contributor.authorLu, Jinmei
dc.date.accessioned2025-03-05T09:11:38Z
dc.date.available2025-03-05T09:11:38Z
dc.date.issued2025
dc.description.abstractUncertainty is commonly present in accelerated life test (ALT) data. The combination of a general log-linear model with a statistical distribution model—using the Weibull distribution in this paper—allows for addressing both multiple operational factors and uncertainty within a single model. This paper interprets the Weibull General Log-Linear (WGLL) model from the ALT perspective. Two parameter estimation methods—maximum likelihood estimation and least squares method—are proposed to address the parameter estimation problem. A simulation study demonstrates that both methods are effective, while the least squares method generally provides better results. The approaches proposed in this paper can be used to develop more general ALT models.en_US
dc.identifier.citationYuan F, Lu J. Parameter estimation for the weibull general log-linear model in accelerated life testing. Journal of Physics: Conference Series (JPCS). 2025;2964en_US
dc.identifier.cristinIDFRIDAID 2363573
dc.identifier.doi10.1088/1742-6596/2964/1/012047
dc.identifier.issn1742-6588
dc.identifier.issn1742-6596
dc.identifier.urihttps://hdl.handle.net/10037/36629
dc.language.isoengen_US
dc.publisherIOP Publishingen_US
dc.relation.journalJournal of Physics: Conference Series (JPCS)
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2025 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleParameter estimation for the weibull general log-linear model in accelerated life testingen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)