Model Robust Calibration: Method and Application to Electronically-Scanned Pressure Transducers

dc.contributor.authorWalker, Eric L.en
dc.contributor.authorStarnes, B. Aldenen
dc.contributor.authorBirch, Jeffrey B.en
dc.contributor.authorMays, James E.en
dc.contributor.departmentStatisticsen
dc.date.accessioned2019-05-08T19:46:18Zen
dc.date.available2019-05-08T19:46:18Zen
dc.date.issued2010en
dc.description.abstractThis article presents the application of a recently developed statistical regression method to the controlled instrument calibration problem. The statistical method of Model Robust Regression (MRR), developed byMays, Birch, and Starnes, is shown to improve instrument calibration by reducing the reliance of the calibration on a predetermined parametric (e.g. polynomial, exponential, logarithmic) model. This is accomplished by allowing fits from the predetermined parametric model to be augmented by a certain portion of a fit to the residuals from the initial regression using a nonparametric (locally parametric) regression technique. The method is demonstrated for the absolute scale calibration of silicon-based pressure transducers.en
dc.format.extent31 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.sourceurlhttps://www.stat.vt.edu/content/dam/stat_vt_edu/graphics-and-pdfs/research-papers/Technical_Reports/TechReport11-3.pdfen
dc.identifier.urihttp://hdl.handle.net/10919/89412en
dc.language.isoenen
dc.publisherAmerican Institute of Aeronautics and Astronauticsen
dc.relation.ispartof27th AIAA Aerodynamic Measurement Technology and Ground Testing Conferenceen
dc.relation.ispartofseriesTechnical Report No. 11-3en
dc.rightsCreative Commons Public Domain Mark 1.0en
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/en
dc.titleModel Robust Calibration: Method and Application to Electronically-Scanned Pressure Transducersen
dc.typeTechnical reporten
dc.typePresentationen
dc.type.dcmitypeTexten

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