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dc.contributor.authorWILSON, SIMONen
dc.date.accessioned2012-06-27T11:37:52Z
dc.date.available2012-06-27T11:37:52Z
dc.date.issued2011en
dc.date.submitted2011en
dc.identifier.citationSimon P. Wilson, Suresh Goyal, Estimating production test properties from test measurement data, Applied Stochastic Models in Business and Industry, 2011en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/64036
dc.descriptionPUBLISHEDen
dc.descriptionOnline publication, November 2011. Awaiting journal publication.en
dc.description.abstractA complex sequence of tests on components and the system is a part of many manufacturing processes. Statistical imperfect test and repair models can be used to derive the properties of such test sequences but require model parameters to be specified. We describe a technique for estimating such parameters from typical data that are available from past testing. A Gaussian mixture model is used to model the wide variety of statistical properties of test data, including outliers, multi-modality and skewness, from which test properties are derived. Model fitting is through a Bayesian approach, implented by Markov chain Monte Carlo.en
dc.description.sponsorshipThis research is a work of the Centre for Telecommunications Value-chain Research, supported by Science Foundation Ireland under grant number 03/CE3/I40,5, and of the STATICA project, funded by the Principal Investigator programme of Science Foundation Ireland under grant number 08/IN.1/I1879. Bell Labs Ireland research was also partly funded by a grant from the Irish Development Agency.en
dc.language.isoenen
dc.relation.ispartofseriesApplied Stochastic Models in Business and Industryen
dc.rightsYen
dc.subjectStatisticsen
dc.subjectImperfect repairen
dc.subjectImperfect testen
dc.subjectGaussian mixture modelen
dc.subjectparameter estimationen
dc.titleEstimating production test properties from test measurement dataen
dc.typeJournal Articleen
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/swilsonen
dc.identifier.rssinternalid76061en
dc.contributor.sponsorGrantNumber08/IN.1/I1879en
dc.contributor.sponsorGrantNumber03/CE3/I40,5en
dc.subject.TCDThemeSmart & Sustainable Planeten
dc.identifier.rssurihttp://dx.doi.org/10.1002/asmb.930en


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