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dc.contributor.creatorO'Driscoll, Diarmuid
dc.contributor.creatorRamirez, Donald E.
dc.date.accessioned2013-04-26T10:29:20Z
dc.date.available2013-04-26T10:29:20Z
dc.date.issued2011
dc.identifier.citationO’Driscoll, D. and Ramirez, D.E. (2011) ‘Geometric View of Measurement Errors’ in Communication in Statistics – Simulation and Computation, Taylor and Francis, 40 (9), 1373-1382.en
dc.identifier.urihttp://hdl.handle.net/10395/1858
dc.description.abstractThe slope of the best fit line from minimizing the sum of the squared oblique errors is the root of a polynomial of degree four. This geometric view of measurement errors is used to give insight into the performance of various slope estimators for the measurement error model including an adjusted fourth moment estimator introduced by Gillard and Iles (2005) to remove the jump discontinuity in the estimator of Copas (1972). The polynomial of degree four is associated with a minimun deviation estimator. A simulation study compares these estimators showing improvement in bias and mean squared error.en
dc.language.isoengen
dc.publisherTaylor and Francisen
dc.relation.ispartofseriesCommunication in Statistics – Simulation and Computation;40 (9) 1373-1382
dc.rightsCopyright © Communication in Statistics – Simulation and Computation, Taylor and Francis, The full journal publication can be found athttp://www.tandfonline.com/toc/lssp20/40/9en
dc.subjectOblique errorsen
dc.subjectMeasurement errorsen
dc.subjectMaximum likelihood estimationen
dc.subjectMoment estimationen
dc.titleGeometric View of Measurement Errorsen
dc.typeArticleen
dc.type.supercollectionall_mic_researchen
dc.type.supercollectionmic_published_revieweden
dc.type.restrictionnoneen
dc.description.versionYesen


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