dc.contributor.author | WILSON, SIMON | en |
dc.date.accessioned | 2012-06-27T11:37:52Z | |
dc.date.available | 2012-06-27T11:37:52Z | |
dc.date.issued | 2011 | en |
dc.date.submitted | 2011 | en |
dc.identifier.citation | Simon P. Wilson, Suresh Goyal, Estimating production test properties from test measurement data, Applied Stochastic Models in Business and Industry, 2011 | en |
dc.identifier.other | Y | en |
dc.identifier.uri | http://hdl.handle.net/2262/64036 | |
dc.description | PUBLISHED | en |
dc.description | Online publication, November 2011. Awaiting journal publication. | en |
dc.description.abstract | A 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.sponsorship | This 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.iso | en | en |
dc.relation.ispartofseries | Applied Stochastic Models in Business and Industry | en |
dc.rights | Y | en |
dc.subject | Statistics | en |
dc.subject | Imperfect repair | en |
dc.subject | Imperfect test | en |
dc.subject | Gaussian mixture model | en |
dc.subject | parameter estimation | en |
dc.title | Estimating production test properties from test measurement data | en |
dc.type | Journal Article | en |
dc.contributor.sponsor | Science Foundation Ireland (SFI) | en |
dc.contributor.sponsor | Science Foundation Ireland (SFI) | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/swilson | en |
dc.identifier.rssinternalid | 76061 | en |
dc.contributor.sponsorGrantNumber | 08/IN.1/I1879 | en |
dc.contributor.sponsorGrantNumber | 03/CE3/I40,5 | en |
dc.subject.TCDTheme | Smart & Sustainable Planet | en |
dc.identifier.rssuri | http://dx.doi.org/10.1002/asmb.930 | en |